This document provides an introduction to the Scientific Evolution Sàrl company and their quantitative seminar programs. The company aims to be a leader in quantitative scientific management through their comprehensive range of open enrollment seminars focused on quantitative techniques. The seminars are designed for high-potential employees and cover topics like probabilities, statistics, forecasting, finance, data analysis, and more. Participants will learn practical applications of quantitative methods through case studies and real-world examples to help solve business challenges.
Predictive analytic models are not new within many analytical organizations. However, the use of predictive analytics is growing rapidly. Data-driven decision-making initiatives are compelling more and more enterprises to move their analytics efforts beyond the basics. Enterprises must go from measurement and reporting to predictions and decision management. With ever-increasing amounts of historical data ready for mining, the right predictive analytic models can help an enterprise understand future behavior – adherence to medical prescriptions, increased or decreased spending, loan repayment, and more. By driving better decision-making, such insights can be transformative. Join us as we look into best-practices for building a predictive enterprise, technology tips for using and implementing predictive analytics tools, and guidelines for building predictive models.
Risk Management Toolkit - Framework, Best Practices and TemplatesAurelien Domont, MBA
This Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants specialized in risk management. It will help you easily identify, assess, prioritize and mitigate the key risks & issues of your project or company. It includes all the Frameworks, Tools & Templates to help your increase your risk management skills and the risk management capability of your company. This Slideshare Powerpoint presentation is only a small preview of our Toolkit. You can download the entire Toolkit in Powerpoint and Excel at www.slidebooks.com
How to Build an HR Analytics Center of ExcellenceAPEX Global
Using analytics to turn data into insights regularly provides strategic advantage to all areas of organizations, from marketing to supply chain management and finance.
The formation of an HR Analytics Center of Excellence can enable firms to derive strategic insights from workforce data and justify the investments made in HR programs and technology.
The Analytics CoE: Positioning your Business Analytics Program for SuccessCartegraph
This Loras College Business Analytics Symposium breakout session presentation by Kiran Garimella, Ph.D., president and founder of XBITALIGN, explored the analytics center of excellence (CoE).
A business analytics program is more than the application of data science and Big Data technology to data. Success should be measured not only by the valuable insights the program delivers, but also by how well it is sustained and how much the ‘analytics mindset’ becomes part of the company’s DNA. The journey is not only from data to information, but also from information to knowledge, and from knowledge to intelligence. The foundation for making this happen is a well-structured Analytics Center of Excellence (CoE).
Operations and Supply Chain Toolkit - Framework, Best Practices and TemplatesAurelien Domont, MBA
The document provides an overview of an Operations and Supply Chain Management Toolkit. It includes 7 components: tools, templates, step-by-step tutorials, real-life examples, best practices, frameworks, and support from management consultants. The objectives of the toolkit are to improve supply chain management capability, organizational performance, business process management, business case development, and prioritization of initiatives. It presents frameworks and approaches to supply chain strategy, demand and supply chain planning, sourcing and procurement, manufacturing, and logistics and distribution.
Business Process Reengineering with Agility BPMChuck Snyder
Process reengineering is the analysis and redesign of workflows within and between organizations to achieve dramatic improvements in critical performance measures like cost, quality, and speed. Agility BPM is a web-enabled tool that allows business experts, without programming, to automate and configure business processes through a graphical workflow designer. It supports complex routing and data collection, and generates documents from predefined templates. The tool is customizable and allows managers to track workflow progress.
Predictive analytic models are not new within many analytical organizations. However, the use of predictive analytics is growing rapidly. Data-driven decision-making initiatives are compelling more and more enterprises to move their analytics efforts beyond the basics. Enterprises must go from measurement and reporting to predictions and decision management. With ever-increasing amounts of historical data ready for mining, the right predictive analytic models can help an enterprise understand future behavior – adherence to medical prescriptions, increased or decreased spending, loan repayment, and more. By driving better decision-making, such insights can be transformative. Join us as we look into best-practices for building a predictive enterprise, technology tips for using and implementing predictive analytics tools, and guidelines for building predictive models.
Risk Management Toolkit - Framework, Best Practices and TemplatesAurelien Domont, MBA
This Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants specialized in risk management. It will help you easily identify, assess, prioritize and mitigate the key risks & issues of your project or company. It includes all the Frameworks, Tools & Templates to help your increase your risk management skills and the risk management capability of your company. This Slideshare Powerpoint presentation is only a small preview of our Toolkit. You can download the entire Toolkit in Powerpoint and Excel at www.slidebooks.com
How to Build an HR Analytics Center of ExcellenceAPEX Global
Using analytics to turn data into insights regularly provides strategic advantage to all areas of organizations, from marketing to supply chain management and finance.
The formation of an HR Analytics Center of Excellence can enable firms to derive strategic insights from workforce data and justify the investments made in HR programs and technology.
The Analytics CoE: Positioning your Business Analytics Program for SuccessCartegraph
This Loras College Business Analytics Symposium breakout session presentation by Kiran Garimella, Ph.D., president and founder of XBITALIGN, explored the analytics center of excellence (CoE).
A business analytics program is more than the application of data science and Big Data technology to data. Success should be measured not only by the valuable insights the program delivers, but also by how well it is sustained and how much the ‘analytics mindset’ becomes part of the company’s DNA. The journey is not only from data to information, but also from information to knowledge, and from knowledge to intelligence. The foundation for making this happen is a well-structured Analytics Center of Excellence (CoE).
Operations and Supply Chain Toolkit - Framework, Best Practices and TemplatesAurelien Domont, MBA
The document provides an overview of an Operations and Supply Chain Management Toolkit. It includes 7 components: tools, templates, step-by-step tutorials, real-life examples, best practices, frameworks, and support from management consultants. The objectives of the toolkit are to improve supply chain management capability, organizational performance, business process management, business case development, and prioritization of initiatives. It presents frameworks and approaches to supply chain strategy, demand and supply chain planning, sourcing and procurement, manufacturing, and logistics and distribution.
Business Process Reengineering with Agility BPMChuck Snyder
Process reengineering is the analysis and redesign of workflows within and between organizations to achieve dramatic improvements in critical performance measures like cost, quality, and speed. Agility BPM is a web-enabled tool that allows business experts, without programming, to automate and configure business processes through a graphical workflow designer. It supports complex routing and data collection, and generates documents from predefined templates. The tool is customizable and allows managers to track workflow progress.
Techved is a leading UX and design consultancy that provides various services including competitor analysis in web space (CAWS). CAWS involves analyzing a client's website against competitors across four areas: user experience, features, SEO/Alexa ratings, and social media signals. The document outlines Techved's CAWS process and packages that provide reports, interpretations, solutions, and retrofit studies to help clients improve their online presence relative to competitors.
An Evolving Career in Innovation Management Steven Palmer
Over the last decade, businesses within the United States have seen an incredible surge in the demand for Innovative capabilities. But how do you develop the skills necessary to drive new ideas? We exam that question through the lens of the Project Manager in a speech originally presented at PMI Honolulu.
The Softer Skills Analysts need to make an impactPaul Laughlin
25 min presentation given at London Business School, to the OR Society's Analytics Network. Summarising Laughlin Consultancy's 9 step model of Softer Skills for Analysts.
Operational Excellence Models, Strategies, Principles & ToolsAurelien Domont, MBA
Toolkit Downloadable at www.slidebooks.com | Created By ex-McKinsey & Deloitte Consultants | Download and Reuse Now 10+ Operational Excellence Models, Strategies, Principles & Tools.
Centre of Excellence in Business AnalyticsJoe Zhang
The document provides information on a marketing research program and strategy plan for a proposed Centre of Excellence in Business Analytics at BCIT. It outlines two phases of marketing research: secondary research on competitor programs and trends, and qualitative research via key informant interviews. It identifies top competitors and summarizes their programs. It then provides a full marketing strategy plan for the Centre, including recommendations, target markets, organization details, situational analysis, marketing objectives and tools. The overarching goal is to establish a unique brand for the Centre and attract industry sponsors and students.
Giving Organisations new Capabilities to ask the Right Business QuestionsOReillyStrata
The document discusses various approaches organizations can take to gain insights from data. It begins by noting that making data work is difficult and that value is captured through outputs and outcomes. It then describes three common approaches: the "all in" approach of fully committing resources, the experimental approach of running small trials, and the "wait and see" approach. The document advocates for an experimental approach using agile experimentation. It provides examples of areas where organizations need to improve such as asking the right questions, choosing technologies, and interpreting results. Finally, it discusses various analytic methods and structured techniques that can be used, including decomposition and visualization, hypothesis generation and testing, and challenge analysis.
Change and Project Management Toolkit - Framework, Best Practices and TemplatesAurelien Domont, MBA
This Toolkit was created after 2,000+ hours of work by ex-McKinsey, Deloitte & BCG Consultants specialized in Change & Project Management. It is considered the world's best & most comprehensive Change & Project Management Toolkit. It includes all the Frameworks, Tools & Templates required to improve the Capability of your organization & excel as a Change Manager or Project Manager. This Slideshare Powerpoint presentation is only a small preview of our Toolkit. You can download the entire Toolkit at www.slidebooks.com
Creating your Center of Excellence (CoE) for data driven use casesFrank Vullers
The document discusses creating a data-driven culture and organization. It provides advice on building a data-driven culture, developing the right team and skills, adopting an agile approach, efficiently operationalizing insights, and implementing proper data governance. Specific recommendations include establishing executive sponsorship, advocating for data use, developing data science, engineering, and analytics teams, prioritizing work using agile methodologies, and communicating a business roadmap to operationalize insights.
Business & consulting toolkits free sample in powerpointDonald Gest
The document advertises business and consulting toolkits created by former consultants from McKinsey, Deloitte, and BCG. It claims the toolkits save thousands of hours of work and allow users to learn best practices from top companies. The toolkits cover various topics like corporate strategy, finance, marketing, and more. Users can access templates, frameworks, and other tools typically used by consultants. The document promotes the toolkits as a cheaper alternative to hiring consultants directly.
Change Management Toolkit including Models, Plans, Frameworks & ToolsAurelien Domont, MBA
Toolkit Downloadable at www.slidebooks.com | Created By ex-Deloitte Change Consultants | Download and Reuse Now a Change Management Toolkit including 10+ Models, Plans, Frameworks & Tools.
Go to www.slidebooks.com to access the editable version in Powerpoint and Excel of this Business Toolkit created by former management consultants from Deloitte and McKinsey.
Navigating the Workday Analytics and Reporting EcosystemWorkday, Inc.
Learn how to maximize the reporting and analytics capability in Workday for finance and HR teams. This slide deck dives into the functionality of Workday Prism Analytics and Workday People Analytics.
20151008 REx Predictive presentation v 1 0 - distributedJefferson Lynch
This document provides an overview of predictive modeling and how it can benefit businesses. It discusses:
- The benefits of predictive modeling and the overall modeling process.
- Common applications like customer intimacy, optimizing capital deployment, and detecting threats.
- The modeling process including clarifying the business problem, understanding available data, developing models, and deploying results.
- Examples of predictive modeling projects including customer segmentation for marketing offers, optimizing a website for visitor segments, and predicting sewer flooding risks to prioritize maintenance.
- Techniques like cluster modeling, correlation analysis, and models incorporating multiple time periods are used to develop solutions.
The document is intended to help business people understand how predictive
The document discusses Six Sigma, which is a business strategy and methodology for improving quality, reliability, and responsiveness. It aims to make products and services faster, better, and cheaper. Six Sigma seeks to systematically eliminate defects and variation from processes by lowering the defect rate to 3.4 defects per million opportunities. It uses a set of tools and problem-solving techniques like DMAIC (Define, Measure, Analyze, Improve, Control) to statistically analyze processes and identify and address root causes of defects. Six Sigma has been successfully applied across various industries to drive process improvement and customer satisfaction.
Many companies are facing the next major ERP upgrade to SAP S/4HANA. But with limited experience and knowledge in this area, few are daring to make the move. How do you get started on the journey to SAP S/4HANA?
Led by VP of Product Supply at FUJIFILM Diosynth Biotechnologies (FDB) Christian Houborg and one of Implement’s leading SAP experts Anders Nørtved, this short webinar will give you unique access and knowledge on how to execute a successful SAP S/4HANA project. Based on learnings and takeaways from our work with FDB, we will be sharing project approaches, tools, challenges, learnings and success stories.
Pressing the Advantage - Disruptive Acceleration with DataViz & Analytics at ...Lewandog, Inc,
Cisco designs and sells networking products worldwide, with the goal of becoming the #1 IT company. The document discusses Cisco's efforts to advance data visualization and analytics through a community-driven approach. It outlines moving from traditional slow and expensive BI models to a more self-reliant approach that enables any business user to access, understand and share data through interactive visualizations. The analytics center of excellence aims to accelerate Cisco's competitive advantage by promoting a culture of data-driven decision making across the organization.
Are your frontline managers spending too many hours manually reviewing timesheets and payroll entries? In this slide deck, learn how Workday leverages machine learning to enable managers and payroll administrators to streamline these labor-intensive tasks—freeing up their time for more strategic, value-added work.
Career Development Programmes for Digital Health Practitioners (For Individuals)NUS-ISS
Specially designed for future Digital Health Practitioners, this session is for individuals (PMEs) who wish to know more about the Industry Transformation Programme landscape. We provide an overview of all NUS-ISS career development schemes and pathways.
We will also deep dive into the specific programme modules in detail.
The document advertises quantitative training programs offered by Scientific Evolution Sàrl to improve skills in mathematics, modeling, simulation, and auditing. The training programs focus on high-level applied mathematics and quantitative techniques to analyze complex business and industrial problems. They are inspired by postgraduate programs at top universities and aim to provide professionals and teams with the quantitative skills needed to make effective decisions. The document emphasizes applying scientific methodologies and using state-of-the-art tools to solve real-world problems.
Modak Analytics provides predictive modeling solutions to help companies analyze customer data and make reliable decisions. Predictive modeling involves [1] analyzing piled up customer data to derive useful insights, [2] designing a predictive model using various techniques like clustering, decision trees, regression, and scorecards, and [3] implementing the model to better understand customers and make profitable decisions. Predictive analysis allows companies to segment markets, rank products, predict customer responses, and reduce fraud. Modak Analytics' customized solutions leverage different modeling techniques to create ensemble models that extract the strengths of each technique.
Techved is a leading UX and design consultancy that provides various services including competitor analysis in web space (CAWS). CAWS involves analyzing a client's website against competitors across four areas: user experience, features, SEO/Alexa ratings, and social media signals. The document outlines Techved's CAWS process and packages that provide reports, interpretations, solutions, and retrofit studies to help clients improve their online presence relative to competitors.
An Evolving Career in Innovation Management Steven Palmer
Over the last decade, businesses within the United States have seen an incredible surge in the demand for Innovative capabilities. But how do you develop the skills necessary to drive new ideas? We exam that question through the lens of the Project Manager in a speech originally presented at PMI Honolulu.
The Softer Skills Analysts need to make an impactPaul Laughlin
25 min presentation given at London Business School, to the OR Society's Analytics Network. Summarising Laughlin Consultancy's 9 step model of Softer Skills for Analysts.
Operational Excellence Models, Strategies, Principles & ToolsAurelien Domont, MBA
Toolkit Downloadable at www.slidebooks.com | Created By ex-McKinsey & Deloitte Consultants | Download and Reuse Now 10+ Operational Excellence Models, Strategies, Principles & Tools.
Centre of Excellence in Business AnalyticsJoe Zhang
The document provides information on a marketing research program and strategy plan for a proposed Centre of Excellence in Business Analytics at BCIT. It outlines two phases of marketing research: secondary research on competitor programs and trends, and qualitative research via key informant interviews. It identifies top competitors and summarizes their programs. It then provides a full marketing strategy plan for the Centre, including recommendations, target markets, organization details, situational analysis, marketing objectives and tools. The overarching goal is to establish a unique brand for the Centre and attract industry sponsors and students.
Giving Organisations new Capabilities to ask the Right Business QuestionsOReillyStrata
The document discusses various approaches organizations can take to gain insights from data. It begins by noting that making data work is difficult and that value is captured through outputs and outcomes. It then describes three common approaches: the "all in" approach of fully committing resources, the experimental approach of running small trials, and the "wait and see" approach. The document advocates for an experimental approach using agile experimentation. It provides examples of areas where organizations need to improve such as asking the right questions, choosing technologies, and interpreting results. Finally, it discusses various analytic methods and structured techniques that can be used, including decomposition and visualization, hypothesis generation and testing, and challenge analysis.
Change and Project Management Toolkit - Framework, Best Practices and TemplatesAurelien Domont, MBA
This Toolkit was created after 2,000+ hours of work by ex-McKinsey, Deloitte & BCG Consultants specialized in Change & Project Management. It is considered the world's best & most comprehensive Change & Project Management Toolkit. It includes all the Frameworks, Tools & Templates required to improve the Capability of your organization & excel as a Change Manager or Project Manager. This Slideshare Powerpoint presentation is only a small preview of our Toolkit. You can download the entire Toolkit at www.slidebooks.com
Creating your Center of Excellence (CoE) for data driven use casesFrank Vullers
The document discusses creating a data-driven culture and organization. It provides advice on building a data-driven culture, developing the right team and skills, adopting an agile approach, efficiently operationalizing insights, and implementing proper data governance. Specific recommendations include establishing executive sponsorship, advocating for data use, developing data science, engineering, and analytics teams, prioritizing work using agile methodologies, and communicating a business roadmap to operationalize insights.
Business & consulting toolkits free sample in powerpointDonald Gest
The document advertises business and consulting toolkits created by former consultants from McKinsey, Deloitte, and BCG. It claims the toolkits save thousands of hours of work and allow users to learn best practices from top companies. The toolkits cover various topics like corporate strategy, finance, marketing, and more. Users can access templates, frameworks, and other tools typically used by consultants. The document promotes the toolkits as a cheaper alternative to hiring consultants directly.
Change Management Toolkit including Models, Plans, Frameworks & ToolsAurelien Domont, MBA
Toolkit Downloadable at www.slidebooks.com | Created By ex-Deloitte Change Consultants | Download and Reuse Now a Change Management Toolkit including 10+ Models, Plans, Frameworks & Tools.
Go to www.slidebooks.com to access the editable version in Powerpoint and Excel of this Business Toolkit created by former management consultants from Deloitte and McKinsey.
Navigating the Workday Analytics and Reporting EcosystemWorkday, Inc.
Learn how to maximize the reporting and analytics capability in Workday for finance and HR teams. This slide deck dives into the functionality of Workday Prism Analytics and Workday People Analytics.
20151008 REx Predictive presentation v 1 0 - distributedJefferson Lynch
This document provides an overview of predictive modeling and how it can benefit businesses. It discusses:
- The benefits of predictive modeling and the overall modeling process.
- Common applications like customer intimacy, optimizing capital deployment, and detecting threats.
- The modeling process including clarifying the business problem, understanding available data, developing models, and deploying results.
- Examples of predictive modeling projects including customer segmentation for marketing offers, optimizing a website for visitor segments, and predicting sewer flooding risks to prioritize maintenance.
- Techniques like cluster modeling, correlation analysis, and models incorporating multiple time periods are used to develop solutions.
The document is intended to help business people understand how predictive
The document discusses Six Sigma, which is a business strategy and methodology for improving quality, reliability, and responsiveness. It aims to make products and services faster, better, and cheaper. Six Sigma seeks to systematically eliminate defects and variation from processes by lowering the defect rate to 3.4 defects per million opportunities. It uses a set of tools and problem-solving techniques like DMAIC (Define, Measure, Analyze, Improve, Control) to statistically analyze processes and identify and address root causes of defects. Six Sigma has been successfully applied across various industries to drive process improvement and customer satisfaction.
Many companies are facing the next major ERP upgrade to SAP S/4HANA. But with limited experience and knowledge in this area, few are daring to make the move. How do you get started on the journey to SAP S/4HANA?
Led by VP of Product Supply at FUJIFILM Diosynth Biotechnologies (FDB) Christian Houborg and one of Implement’s leading SAP experts Anders Nørtved, this short webinar will give you unique access and knowledge on how to execute a successful SAP S/4HANA project. Based on learnings and takeaways from our work with FDB, we will be sharing project approaches, tools, challenges, learnings and success stories.
Pressing the Advantage - Disruptive Acceleration with DataViz & Analytics at ...Lewandog, Inc,
Cisco designs and sells networking products worldwide, with the goal of becoming the #1 IT company. The document discusses Cisco's efforts to advance data visualization and analytics through a community-driven approach. It outlines moving from traditional slow and expensive BI models to a more self-reliant approach that enables any business user to access, understand and share data through interactive visualizations. The analytics center of excellence aims to accelerate Cisco's competitive advantage by promoting a culture of data-driven decision making across the organization.
Are your frontline managers spending too many hours manually reviewing timesheets and payroll entries? In this slide deck, learn how Workday leverages machine learning to enable managers and payroll administrators to streamline these labor-intensive tasks—freeing up their time for more strategic, value-added work.
Career Development Programmes for Digital Health Practitioners (For Individuals)NUS-ISS
Specially designed for future Digital Health Practitioners, this session is for individuals (PMEs) who wish to know more about the Industry Transformation Programme landscape. We provide an overview of all NUS-ISS career development schemes and pathways.
We will also deep dive into the specific programme modules in detail.
The document advertises quantitative training programs offered by Scientific Evolution Sàrl to improve skills in mathematics, modeling, simulation, and auditing. The training programs focus on high-level applied mathematics and quantitative techniques to analyze complex business and industrial problems. They are inspired by postgraduate programs at top universities and aim to provide professionals and teams with the quantitative skills needed to make effective decisions. The document emphasizes applying scientific methodologies and using state-of-the-art tools to solve real-world problems.
Modak Analytics provides predictive modeling solutions to help companies analyze customer data and make reliable decisions. Predictive modeling involves [1] analyzing piled up customer data to derive useful insights, [2] designing a predictive model using various techniques like clustering, decision trees, regression, and scorecards, and [3] implementing the model to better understand customers and make profitable decisions. Predictive analysis allows companies to segment markets, rank products, predict customer responses, and reduce fraud. Modak Analytics' customized solutions leverage different modeling techniques to create ensemble models that extract the strengths of each technique.
At Axtria, we provide world-class training, support and growth prospects - all crafter to build on your unique skills and outline your success. You will be in a highly collaborative culture among a bunch of the most talented and visionary folks in the industry.
“In the digital age, innovation is critical to corporate success. Missing out on a technology or innovative new startup can result in failed investments, missed opportunities and unexploited partnerships or M&A potential. Our Detecon web-based innovation Radar helps avoid that: it harnesses our global trend and startup knowledge to empower clients to innovate successfully and proactively.”
– Stefan Wilhelm, CEO Detecon, Inc.
The Aleanda Group provides operational solutions and consulting services to maximize customer efficiencies and satisfaction. They leverage technology and process improvement methods to assess clients' operations, identify issues, and develop strategies. Their services include strategic planning, business analysis, solution implementation, and helping clients understand their markets and product offerings. The goal is to minimize costs and time to profit while allowing clients to focus on their core business.
This document summarizes a business analytics certificate program offered jointly by Dun & Bradstreet and EduPristine. The 10-day program provides 50 hours of classroom training using R Tool and Excel, focusing on topics like statistics, linear regression, logistic regression, decision trees, and time series modeling. It is intended to equip professionals with essential analytics tools and skills. Participants will receive certification upon completing the course and can choose packages that include additional case studies, data visualization training, and Tableau certification. EduPristine is an education company that provides various professional training programs.
Knowledge as an asset has not lost momentum, in fact organizations still need proper KM tools and methods in order to reduce the risk of knowledge loss, improve collaboration, standardize best practices and so on. Problem begins when we try to solve this issues with a KM vision that was meant for a 90s-type business and not for today’s exponential organizations
This presentation showcases a proven method for KM for modern organizations developed by Wakiy, a knowledge management consultancy firm based in Lima, Perú.
This document provides an overview of a 3-day "Business Analytics" workshop for practitioners. The workshop aims to impart an understanding of data-oriented thinking, equip participants with statistical tools to identify, analyze and interpret data for improved performance, and foster a data-centric culture. The workshop will cover topics like identifying opportunities from data, basic statistics, analytical tools, statistical tests, regression, forecasting techniques and more. It will include practical exercises and cases. The target audience are individuals and teams from across organizations and industry domains. The workshop will be led by an experienced principal coach with expertise in areas like Lean Six Sigma, customer service, and analytics.
Cloudera Fast Forward Labs: Accelerate machine learningCloudera, Inc.
Machine learning and artificial intelligence can change the world. Diagnosing heart disease. Detecting fraud. Predicting insurance claims. Revolutionizing agriculture. In business, machine learning and artificial intelligence drive new sources of revenue and lower costs.
But executives struggle to define an investment strategy. Researchers introduce innovations in machine learning daily. Technical jargon is opaque. Vendor hype muddies the waters. Industry analysts cover the field, but only at a high level.
Cloudera Fast Forward Labs accelerates your machine learning journey. We deliver a unique blend of applied research and hands-on explanations that you can apply to your business today.
In this webinar you will:
Meet the Cloudera Fast Forward Labs team
Cut through machine learning hype
Explore recent examples of applied research
See exciting new ML techniques
Hear how machine learning is delivering real business value on multiple use cases
3 things to learn:
Explore recent examples of applied research
See exciting new ML techniques
Hear how machine learning is delivering real business value on multiple use cases
Data Science Certification in Kolkata-MayDataMites
Data science is an interdisciplinary field that involves extracting insights and knowledge from structured and unstructured data.
For More Info Visit: https://datamites.com/data-science-course-training-kolkata/
Integrating Digital Marketing AnalyticsDaniel Shea
Digital analytics is complicated! Advanced analytics (data science & predictive modeling) are needed to extract the most knowledge. But how? Here is a framework and some tips from my experience peeking through the curtain.
Career Development Programmes for Digital Business Analysts (for Individuals)NUS-ISS
Specially designed for the Digital Change Agents of tomorrow, this session is for individuals (PMEs) who wish to know more about the Industry Transformation Programme landscape. We provide an overview of NUS-ISS career development schemes and pathways, and will also deep dive into the specific programme modules in detail. Be guided through frequently asked questions related to the programmes and get your questions answered at our Q&A session.
How to start the journey of Data science in your organizations. Find how to understand the business objectives, AI Frameworks, Methodologies and canvas models to help you depict business potential scenarios for justification.
Moving the intellectual competence and operational dynamics of a firm to the hall of excellence wherein every key player and work process fit into intelligence best practices.
Data Scientist Certification in Chennai-MayDataMites
Data science is an interdisciplinary field that involves extracting insights and knowledge from structured and unstructured data.
For More Info Visit: https://datamites.com/data-science-course-training-chennai/
How the Analytics Translator can make your organisation more AI drivenSteven Nooijen
The document discusses how the Analytics Translator role can help organizations become more AI-driven by bridging the gap between business and technology. The Analytics Translator collects and prioritizes ideas, develops business cases for AI solutions, guides the solution development process, and drives adoption. Characteristics of a good Analytics Translator include understanding both business and AI, taking ownership, and operating at the intersection of UX, technology, and business. Developing this role is important for companies to successfully create impact and value from data and AI.
AI Maturity Levels and the Analytics TranslatorGoDataDriven
Buzzwords like Big Data, Cloud, and AI have been out there now for a couple of years. But today, businesses have a clear focus on the application of data use cases and the challenges around that such as metadata management, governance, security, and maintainability in general. Everybody seems to have some version of a data lake and wants to consolidate it into something (more) useful, or move from an on-premise version to the cloud. There is a general need to streamline current practices while also attempting to give multiple segments of users (data scientists, analysts, marketeers, business people, and HR) access in a way that is tailored to their needs and skills. In other words: businesses today are heavily invested in data and AI, but many have a hard time knowing how to mature it to the next level.
This is exactly where a "maturity model" comes into play. The goal of a maturity model is to help businesses in understanding their current and target competencies. This helps organisations in defining a roadmap for improving their competency. A maturity model is therefore one way of structuring progression, whether the company already embraces data science as a core competency, or, if it is just getting started.
In this presentation on maturity models, we answer the following questions:
1. What exactly is a maturity model and why would you need it? We address this by sharing GoDataDriven's maturity model and describing the different phases we have identified based on our experience in the field.
2. How can you use a maturity model to advance your organisation? Having a maturity model alone is not enough, in order for it to be valuable you need to act upon it. This paper provides concrete examples on how to do act based on practical stories and experiences from our clients and ourselves.
Data science is an interdisciplinary field that involves extracting insights and knowledge from structured and unstructured data.
For More Info Visit: https://datamites.com/data-science-course-training-jaipur/
As a Functional Architect in Accenture's Intelligent Platform Services focusing on SAP SCM, you will:
1. Work at the intersection of industries/functions and technology to create solutions that transform clients' businesses. You will collaborate with clients, delivery teams, subject matter experts, and partners.
2. Get opportunities to gather requirements, design applications, enable business strategies, and demonstrate a strong understanding of clients' business processes as they relate to projects.
3. Brainstorm and craft technology solutions and requirements for given projects, working directly with clients to deliver expertise in areas like supply chain, enterprise platforms like SAP, and solutioning platforms.
Data Science Certification in Gurgaon-MayDataMites
Data science is an interdisciplinary field that involves extracting insights and knowledge from structured and unstructured data.
For More Info Visit: https://datamites.com/data-science-course-training-gurgaon/
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Excellent E-book sur GGPlot 2 en français et en couleurs de mon collègue Daname Kolani! Cet e-book est un échantillon des sujets que nous traîtons dans les formations R et GGPlot 2 que nous dispensons.
The document provides instructions for installing and configuring Scientific Linux 7.1 in a VirtualBox virtual machine. It describes how to download and install Scientific Linux, configure various networking and security settings, and install programming environments and applications like Qt, Eclipse, XML Copy Editor, Umbrello, Apache, MySQL, PHP, phpMyAdmin, MariaDB, Tomcat and more. The document is a guide for setting up a development environment for tasks like C++, Java, PHP and database programming on Scientific Linux.
Petite présentation PowerPoint de la solution proposée par la société Scientific Evolution Sàrl pour la génération et l'analyse scientifique de tests de compétences, de quiz, de sondages et de cartes de révision.
Tata Group Dials Taiwan for Its Chipmaking Ambition in Gujarat’s DholeraAvirahi City Dholera
The Tata Group, a titan of Indian industry, is making waves with its advanced talks with Taiwanese chipmakers Powerchip Semiconductor Manufacturing Corporation (PSMC) and UMC Group. The goal? Establishing a cutting-edge semiconductor fabrication unit (fab) in Dholera, Gujarat. This isn’t just any project; it’s a potential game changer for India’s chipmaking aspirations and a boon for investors seeking promising residential projects in dholera sir.
Visit : https://www.avirahi.com/blog/tata-group-dials-taiwan-for-its-chipmaking-ambition-in-gujarats-dholera/
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Top mailing list providers in the USA.pptxJeremyPeirce1
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How MJ Global Leads the Packaging Industry.pdfMJ Global
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Taurus Zodiac Sign: Unveiling the Traits, Dates, and Horoscope Insights of th...my Pandit
Dive into the steadfast world of the Taurus Zodiac Sign. Discover the grounded, stable, and logical nature of Taurus individuals, and explore their key personality traits, important dates, and horoscope insights. Learn how the determination and patience of the Taurus sign make them the rock-steady achievers and anchors of the zodiac.
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Know what your zodiac sign says about your taste in food! Explore how the 12 zodiac signs influence your culinary preferences with insights from MyPandit. Dive into astrology and flavors!
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Understanding User Needs and Satisfying ThemAggregage
https://www.productmanagementtoday.com/frs/26903918/understanding-user-needs-and-satisfying-them
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
In this webinar, we won't focus on the research methods for discovering user-needs. We will focus on synthesis of the needs we discover, communication and alignment tools, and how we operationalize addressing those needs.
Industry expert Scott Sehlhorst will:
• Introduce a taxonomy for user goals with real world examples
• Present the Onion Diagram, a tool for contextualizing task-level goals
• Illustrate how customer journey maps capture activity-level and task-level goals
• Demonstrate the best approach to selection and prioritization of user-goals to address
• Highlight the crucial benchmarks, observable changes, in ensuring fulfillment of customer needs
Industrial Tech SW: Category Renewal and CreationChristian Dahlen
Every industrial revolution has created a new set of categories and a new set of players.
Multiple new technologies have emerged, but Samsara and C3.ai are only two companies which have gone public so far.
Manufacturing startups constitute the largest pipeline share of unicorns and IPO candidates in the SF Bay Area, and software startups dominate in Germany.
buy old yahoo accounts buy yahoo accountsSusan Laney
As a business owner, I understand the importance of having a strong online presence and leveraging various digital platforms to reach and engage with your target audience. One often overlooked yet highly valuable asset in this regard is the humble Yahoo account. While many may perceive Yahoo as a relic of the past, the truth is that these accounts still hold immense potential for businesses of all sizes.
The Evolution and Impact of OTT Platforms: A Deep Dive into the Future of Ent...ABHILASH DUTTA
This presentation provides a thorough examination of Over-the-Top (OTT) platforms, focusing on their development and substantial influence on the entertainment industry, with a particular emphasis on the Indian market.We begin with an introduction to OTT platforms, defining them as streaming services that deliver content directly over the internet, bypassing traditional broadcast channels. These platforms offer a variety of content, including movies, TV shows, and original productions, allowing users to access content on-demand across multiple devices.The historical context covers the early days of streaming, starting with Netflix's inception in 1997 as a DVD rental service and its transition to streaming in 2007. The presentation also highlights India's television journey, from the launch of Doordarshan in 1959 to the introduction of Direct-to-Home (DTH) satellite television in 2000, which expanded viewing choices and set the stage for the rise of OTT platforms like Big Flix, Ditto TV, Sony LIV, Hotstar, and Netflix. The business models of OTT platforms are explored in detail. Subscription Video on Demand (SVOD) models, exemplified by Netflix and Amazon Prime Video, offer unlimited content access for a monthly fee. Transactional Video on Demand (TVOD) models, like iTunes and Sky Box Office, allow users to pay for individual pieces of content. Advertising-Based Video on Demand (AVOD) models, such as YouTube and Facebook Watch, provide free content supported by advertisements. Hybrid models combine elements of SVOD and AVOD, offering flexibility to cater to diverse audience preferences.
Content acquisition strategies are also discussed, highlighting the dual approach of purchasing broadcasting rights for existing films and TV shows and investing in original content production. This section underscores the importance of a robust content library in attracting and retaining subscribers.The presentation addresses the challenges faced by OTT platforms, including the unpredictability of content acquisition and audience preferences. It emphasizes the difficulty of balancing content investment with returns in a competitive market, the high costs associated with marketing, and the need for continuous innovation and adaptation to stay relevant.
The impact of OTT platforms on the Bollywood film industry is significant. The competition for viewers has led to a decrease in cinema ticket sales, affecting the revenue of Bollywood films that traditionally rely on theatrical releases. Additionally, OTT platforms now pay less for film rights due to the uncertain success of films in cinemas.
Looking ahead, the future of OTT in India appears promising. The market is expected to grow by 20% annually, reaching a value of ₹1200 billion by the end of the decade. The increasing availability of affordable smartphones and internet access will drive this growth, making OTT platforms a primary source of entertainment for many viewers.
Structural Design Process: Step-by-Step Guide for BuildingsChandresh Chudasama
The structural design process is explained: Follow our step-by-step guide to understand building design intricacies and ensure structural integrity. Learn how to build wonderful buildings with the help of our detailed information. Learn how to create structures with durability and reliability and also gain insights on ways of managing structures.
1. QUANTITATIVE
Learning & Tactical Performance Center
V5
MATHEMATICS • ANALYSIS • MODELING • SIMULATION • AUDITING
modeling data, creating knowledge
High Performance Analytics
It's not about being the best, it's about being better than you were yesterday
2. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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Contents
re you an individual or a team wanting to get exposed to some of the major quantitative
techniques and looking for a customizable bachelor, master or PhD advanced analytics level
program? As a “HiP” you want to deeply understand mathematical analysis and modeling tools?
Because science is the worldwide intensive source of innovation since more than 300 hundred years,
this catalog will perhaps help you to find solutions to the specific needs of your company and to keep and
develop key talent!
Scientific Evolution Sàrl wish in a near future to be a leader in Quantitative Scientific Management with
a comprehensive range of open enrollment “quant” seminar programs, all aimed at the real needs of
today's employees (especially high-potentials, aka HiPos) and customer's expectations. Passionate about
our business, we believe in what we do and we take pleasure in doing it!
Introduction
When Science meet Management ............................................................................................................2
Quant Skills..............................................................................................................................................5
Information...............................................................................................................................................8
Seminars
IDTT01: Probabilities.............................................................................................................................9
IDTT02: Descriptive statistics................................................................................................................11
IDTT03: Parametric inferential Statistics (hypothesis testing) ..........................................................14
IDTT04: Non-parametric Statistics.......................................................................................................17
IDTT05: Quantitative Forecasting and Time series analysis..............................................................19
IDTT06: Quantitative Quality control (industrial statistics) ..............................................................22
IDTT07: Quantitative Finance...............................................................................................................25
IDTT08: Quantitative Decisioneering ...................................................................................................29
IDTT09: Quantitative Data analysis (data mining/machine learning) ..............................................31
IDTT10: Quantitative Failure Modes and Effects Analysis................................................................34
IDTT11: Quantitative Project Management (Statistical Thinking for Managers)...........................36
IDTT12: Quantitative Optimization techniques ..................................................................................38
IDTT13: Quantitative Supply chain......................................................................................................41
IDTT14: Quantitative Insurance techniques........................................................................................43
IDTT15: Engineering Mathematics.......................................................................................................45
Prices..........................................................................................................................................................47
When you can measure what you are speaking about and express it in numbers, you know something
about it; but when you cannot express it in numbers, your knowledge is of a meager and unsatisfactory
kind. Lord Kelvin
A
3. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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When Science meets Management
he further you go in your company's business system, the greater the responsibilities that you must
take on, and the more visible will the results for which you are accountable. And these
responsibilities and this visibility will occur in the context of ever-increasing complexity. The
quantitative stream is an integral part evolution for all activities to understand and solve/improve complex
situations using Master/PhD state of the art scientific tools and processes based on extremely useful and
rigorous REX (return on experience).
Scientific Evolution Sàrl 100% focused on Quantitative Scientific Management with a comprehensive
range of open enrollment quant seminar programs, all aimed at the real needs of today's employees
(especially high-potentials), a radical high level approach to the management of organizations using an
efficient proven method: math's analysis and scientific methodologies for project management to resolve
real business issues and analyze strategic challenges!
The ability to reason in an organized and mathematically correct manner is essential to solving critical
business problems, and helping employees to improve their reasoning skill is also one of our primary
goals.
We hope that our approach will transform the way your company executes the revenue generating process
in a wide variety of complex problems in business, government, health care, education and many others
through his scientific strategy for each hard skill or soft skill high-potential employee.
T
4. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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Others say it, We prove it!
Even though many business decisions can be made intuitively, based on hunches and experience, there
are more and more situations in which quantitative models can assist. Some managers, however, fear that
the use of a formal analysis process will reduce their decision-making power. Others fear that it may
expose some previous intuitive decisions as inadequate. Still others just feel uncomfortable about having
to reverse their thinking patterns with formal decision making. These managers often argue against the
use of quantitative methods. Many action-oriented managers do not like the lengthy formal decision-
making process and prefer to get things done quickly. They prefer “quick and dirty” qualitative
techniques that can yield immediate results. Once managers see some quick results of quantitative
technics that have a substantial payoff, the stage is set for convincing them that quantitative analysis is a
beneficial tool.
When you participate to our quantitative seminars, you will:
•learn through real-life case studies with real accessible tools and practical research material
•learn to turn numbers into real scientific knowledge
•learn from experts, all researchers or authors
•choose to work on a specific challenge related to your company
•share knowledge with other high-potentials skills through active class discussions
•gain access to our website (Forum, Wiki, MS Excel Spreadsheets, Scripts/Codes, Lectures, Videos)
These elements make naturally of Scientific Evolution Sàrl your ideal partner for all trainings of very
high level of complexity and rigor.
Memorization is important, however understanding is even more important.
Theory
• Purpose
• Hypothesis
• Assumptions
• Limitations
• Proofs
Applications
• Finance
• Management
• Supply chain
• Quality
• R&D
• Forecasting
• …
Discussions
• Processes
• Implementation
• Business cases
• Critics
• Lectures
• Traps
• Tips & Tricks
5. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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State of the art
Mathematic is the most fascinating and satisfying subject to research and to learn. No matter how much
you read, and how well informed you are, there is nothing comparable to deeply understand the
mechanisms of applied science to gain the managerial insights that are necessary for succeeding in the
future and mastering the present. We share our passion for all branches of mathematics and our diverse,
high-quality seminars list reflects this.
We offer real learning approach with powerful professional tools and methodologies align with the needs
of your daily business subject to uncertainties. Our program gives you a grounding in core disciplines
such as quantitative marketing, quantitative finance, quantitative project management, quantitative quality
control, quantitative process management and decisioneering. This approach enables you to look at
various challenging issues from a different perspective and dig out gold of your company's data,
independent of the sector you are situated in.
For this purpose, we are constantly updating our programs keeping them relevant, and bringing
innovative material to the classroom. By investing the necessary time to work closely with key clients and
understand their needs, we always offer tailored and comprehensive services that addresses your specific
needs as accurately as possible.
Participants should come with an open mind to learn from thought leaders and peers, to build efficient
business and sustainable business environment. Also, we will discuss how scientific methodology has
increase knowledge and comfort in all fields.
Quantitative techniques and tools provide the executive with scientific basis for decision making and
enhance the abilities to make long range plans and to solve some of the many problems of running a
business and industry with greater efficiency and confidence. Quantitative techniques and tools are
instead nothing more than a high-quality tool for the professional involved in the high-level business
areas and is not a guarantee of specific results! There are number of advantages in using mathematical
models:
1. Models can accurately represent reality (if properly formulated)
2. Models can help a decision maker formulate problems
3. Models can give us insight and information
4. Models can save time and money rather than trying for real
5. A model may be the only way to solve some large or complex problems in a timely fashion
6. A model can be used to communicate problems and solutions to others
Everything should be made as simple as possible, but not simpler.
Albert Einstein
6. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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Quant skills
Quant skills and High-Potentials expect from their employer more development, support, and investment
– and they get it. Their also receive more development opportunities – such as special assignments and
seminar as well as mentoring and coaching from senior leaders – than other employees to keep them in
the organization. The extra investment from their employer is one reason why being formally recognized
as a Quant skill and also a High-Potential is considered important to face a more complex range of
challenges.
Because High-Potentials are that illustrious group of individuals who are the rising stars in your
organization they have to receive differentiated seminar that often includes additional options for "higher
dollar" seminar to take on greater risks and responsibilities. Our seminars prepare your high-potentials
skills in three ways for keeping them engaged so you can retain them:
•Deepening understanding of fundamentals and advanced quant techniques (finance, forecasting,
supply chain, quality control, optimization, etc.).
•Providing a solid foundation in the principles of quant techniques and a unique opportunity for self-
development and for your company management methods.
•A learning approach that is highly informal and interactive with thought-provoking assignments, and
real-life case discussions.
When an organization sends us a Quant or High-Potential, it gains a more confident, competent business
leader:
•To manage change rigorously and drive results in a scientific way.
•Thanks to his heightened curiosity about the world and the possibilities it holds.
•Through his aptitude to turn ideas into actions and measure their efficiency scientifically.
7. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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DMAIC Training process
We aim to be as transparent as possible with your projects by providing very detailed contents of all
levels: business-oriented, with varying intensity and based if possible, on a statistical analysis of your
business. Our main goal is to provide highly tailored solution to minimize your financial and time
investment.
We apply the Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) approach for building
your customize trainings and to be sure that there are really useful for your employees:
• Define a detailed specification book and research of (Critical To Quality) CTQ points
• Measure knowledge before training with skills assessments tests and interviews
• Analyze with statistics (when possible) the needs and the level of company employees by profession
• Improve skills with appropriate training prepared using the previous DMA steps.
• Control and report the short- and long-term return on investment and performance
And for sure you can follow our trainings or seminars in our classrooms, in your office building (if the
meeting rooms are adapted) or by using e-learning technologies (webcasts, videos).
To be sure our services are successful and sustainable, we need to understand and have a clear picture on
the details of your core business and implicit variables on your environment!
•Planning simulations?
•Budget simulations?
•Time management?
•Decisioneering?
•Data analysis (data mining)?
•Forecasting?
•Controlling?
•Statistical process control?
•Failure probabilities?
•Financial simulations?
•Risk convolution?
•Optimization?
•Stress tests?
•Heuristics?
•Working methodologies?
•….
•Who is in charge of your
statistics for data analysis and
forecasting?
•What level of statistics are you
using today (undergraduate,
postgraduate…)?
•Are you doing projects and
financial simulations?
•Who is in charge in statistical
process control and
optimization?
•Do you calculate failures
probabilities of your products
and services?
•Do you know how real science
has improved technologies and
working methodologies?
•Identify your quants
•Define your conditions and
constraints
•Pass admission test
•Interviews
•Plan and design an efficient
custom program that have
lasting impact
•Transfer you business cases to
the training center
•Train on real world examples
with experts with real tool
•Pass post-test
•Measure efficiency (ROI)
8. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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What's new
At Scientific Evolution Sàrl we always put quality first. By investing the
necessary resources to study international norms and standards and last
scientific publication, we can offer high level tailored services with
demonstrated results:
• With a radical approach
• With passionate and innovative speaker, trainers and experts
• With state-of-the-art techniques
• With high level business tools
Our distinctive portfolio of open and seminars caters to individuals, teams and organizations. To remain
at the forefront of quant education, we update once per year our programs keeping them relevant and
assess our company organization and services using EFQM (European Foundation for Quality
Management) scale value.
Top 5 benefits:
Most education centers add undergraduates' trainings about social responsibility, communication, ethics,
computing and management methodologies. At Scientific Evolution Sàrl this is a part of the assumed
curriculum because we think that only a deeper understanding can bring people to have better ideas.
Our Credentials include PhDs in Statistics and Engineer grade in Nuclear Physics, and authorship of
worldwide known textbooks and videos about statistics, finance, mechanics and well-known data analysis
softwares.
Quant trainings with proofs
Real world oriented problems
BMD-level tools and techniques
Scientific methodologies
Valuable return on investment
9. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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Information
For all seminars:
▪ Subjects are all detailed with accessible undergraduate or postgraduate math proofs and real-world business
examples
▪ A four-hour test with an interview is strongly recommended before and after the seminar (ISO 10015:1999,
EduQua:2004, AFNOR X50-756)
▪ Admission decisions are based using a combination of factors, including academic degrees and records, the
statement of purpose, letters of recommendation, test scores, and relevant work experience
▪ There is a delay of three months minimum between your request and the first seminar date for quality
purposes
▪ We strongly recommend four weeks between each seminar session (trainees can digest, apply and review
new knowledge between each session: see Forgetting curve on Wikipedia)
▪ We also strongly recommend to split the whole training duration in sessions of four hours occurring at the
beginning of the week (avoid Friday)
▪ All suggested durations are indicated for a group of six attendees who satisfies prerequisites
▪ You can book also Saturdays and Sundays for seminars dates and customize seminars around a corporate
team task in a neutral setting with our support as a launch pad for a new project
▪ After the seminar, trainees can follow for free "beta" presentations to update their skills
▪ We strictly respect ISO 9001:2008, ISO 10015:1999 and EduQua:2004 processes for our seminars
For dates or any other information (seminars details, prices, tailor-made seminars, consulting services,
suggestions, processes, place reservation, etc.) contact: info@scientific-evolution.com. After you have sent
your request a consultant will contact you in order to schedule an appointment for an initial consultation. There
may be a waiting period of several days or more during times when we receive many requests.
10. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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IDTT01: Probabilities
AIM AND OBJECTIVE
The aim of this seminar is to define rigorously and
clearly all fundamentals concepts used in all
quantitative statistical techniques and tools. The
objective will be to open the doors to bachelor level
concepts and accurate trainee's data analysis skills in
sales, marketing, supply chain, quality control,
finance, surveys, measures, laboratories, human
resource, insurance, etc. This seminar is very
important to be sure that trainees will deeply
understand assumptions and construction of
quantitative tools.
TARGET AUDIENCE
Anyone who wants to acquire a solid background in
statistical thinking or people with a (E)MBA, CFA,
FRM, CAIA, CII, CAPM/PMP or 6 Master Black
Belt certificate who wish to refresh their knowledge
and deeply understands limitations and hypothesis in
further seminars.
PREREQUISITES / ADMISSION CRITERIA
A four-hour admission test with a one-hour
interview is strongly recommended before and after
the seminar to test mathematics and business skills.
Attendees must have at least an undergraduate
degree or global equivalent if the seminar is
requested with mathematical proofs.
SUGGESTED DURATION
The whole program is on 4 days (7 hours per day)
without proofs (WhP) and on 6 days with proofs
(WP). It can be customized on needs (available in
minutes next to each module conforming to AFNOR
NF X50 756) including or not an assessment test
(open book exam).
ORGANIZATION
The sessions occur in a classroom with computers
installed and up-to-date tools, a beamer and a
flipchart/whiteboard or blackboard. Cellphones and
mails are forbidden during the seminar.
ATTENDEES
Maximum 50/Minimum 1
CERTIFICATION
An e-Certificate with a supplement will be awarded
to each participant who has successfully attended at
least 80% of the seminar and pass the exam.
PEDAGOGICAL METHOD
You will learn from relevant case studies, open
sessions to discuss your issues, group or individual
computer-based exercises, videos and simulations
and paper readings.
This instructor-led seminar is based on business
case exercises related to the attendees' professional
needs and ~95% is practical when asked without
mathematical proofs, otherwise the practical part is
~66%. The attendees may bring (recommended)
their professional data and issues to work on.
TRAINER(S)
1-2 BMD physicists or mathematicians
TOOLS
MS Office Excel, Open Calc, Minitab, MSBNX,
Tanagra, SPSS, R or any other spreadsheet/stat like
software. Laptops or computers with VirtualPC or
VMware player are strongly recommended.
BOOK
Elements of Applied Mathematics for Engineers
ISBN: 978-2-8399-0932-7 (7,276 pages PDF)
This complete and detailed book frees participants
from the distracting task of note taking.
AVAILABLE SEMINAR LANGUAGES
Material and discussion language can be in French,
English or German depending on the audience.
CONTACT
info@scientific-evolution.com
FUNCTIONAL LEVEL
Business Analyst, Financial/Insurance/Treasury
Analyst, Engineer, Project Manager/Analyst,
Clinician, Laboratory Assistant, Team Leader, Dpt.
Leader, Quality Manager/Analyst, CEO, CFO,
CRO, Human Resource Manager, Students, etc.
DIFFICULTY / BLOOM'S TAXONOMY LEVEL
Bachelor (Level 3/6)/Evaluations (Level 6/6)
EXAM / TEST
A four-hour test is strongly recommended before
and after the seminar to assess trainee's knowledge
and performance.
PRICE / DATES
For estimate prices refer to page 45
Dates on demand
Keywords: probabilities, bayesian, permutations, combination, seminar, course, training
11. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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Detailed seminar program =
Goal Description ~Duration [min.]
01 Introduction 30
02 Tools and implementation 10
03 About the rigor level 10
04 Statistical thinking 20
05 Axiom of probabilities 30
06 Conditional (Bayesian) prior & posterior discrete probabilities WP 145/WhP 60
07 Conditional (Bayesian) prior continuous probabilities
(conjugate bayesian prior to Normal and Binomial distributions)
WP 80/WhP 30
08 Conditional mean based on Pareto distribution (Analytical & Monte Carlo) WP 160/WhP 60
09 Iterated conditional mean WP 20/WhP 10
10 Bayesian network WP 90/WhP 60
11 Likelihood and left, right, interval censored likelihood WP 120/WhP 80
12 Fisher Information Matrix (with score function and score vector) WP 80/WhP 20
13 Markov chains WP 120/WhP 90
14 Permutations without repetitions WP 30/WhP 20
15 Permutations with repetitions WP 30/WhP 20
16 Arrangements with repetitions WP 30/WhP 20
17 Arrangements without repetitions WP 60/WhP 20
18 Combinations without repetitions 15
19 Combinations with repetitions WP 40/WhP 20
20 Probability generating function WP 70/WhP20
21 Entropy and Kullback-Leibler divergence WP 90/WhP20
22 Seminar conclusion and feedback 30
23 Open Book Exam (on demand only) 240
Good to know: This seminar will help you to understand important models used in insurance and credit risk (like the Cox
Proportional Hazard, Kaplan-Meier models, Credit Suisse First Boston CreditRisk+) and how some Internet search and
translation engines work and how the biggest worldwide supermarkets analyze customer behaviors with Markov chains. But
above all you will see and study typical errors of reasoning occurring in business and industrial practice. Depending on the
country and university or engineering school, this seminar outline corresponds to an undergraduate or Bachelor level.
12. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
info@scientific-evolution.com – www.scientific-evolution.com
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IDTT02: Descriptive statistics
AIM AND OBJECTIVE
The aim of this seminar is to study rigorously and
clearly all fundamentals and highly critical concepts
used in all quantitative statistical bachelor level and
further techniques and tools. The objective is to be
able to understand how to apply and the advantages
of using graduate statistical level tools in daily basis
business.
TARGET AUDIENCE
Anyone who wants to acquire a solid background in
statistical thinking or people with a (E)MBA, CFA,
FRM, CAIA, CII, CAPM/PMP or 6 Master Black
certificate who wants to go much deeper in statistics
or refresh their knowledge.
PREREQUISITES / ADMISSION CRITERIA
A four-hour admission test with a one-hour
interview is strongly recommended before and after
the seminar to test mathematics and business skills.
Attendees must have at least an undergraduate
degree or global equivalent to the content of IDTT01
if the seminar is requested with mathematical proofs.
SUGGESTED DURATION
The whole program is on 5 days (7 hours per day)
without proofs (WhP) and on 13 days with proofs
(WP). It can be customized on needs (available in
minutes next to each module conforming to AFNOR
NF X50 756) including or not an assessment test
(open book exam).
ORGANIZATION
The sessions occur in a classroom with computers
installed and up-to-date, a beamer and a
flipchart/whiteboard or blackboard. Cellphones and
mails are forbidden during the seminar.
ATTENDEES
Maximum 50/Minimum 1
CERTIFICATION
An e-Certificate with a supplement will be awarded
to each participant who has successfully attended at
least 80% of the seminar and pass the exam.
PEDAGOGICAL METHOD
You will learn from relevant case studies, open
sessions to discuss your issues, group or individual
computer-based exercises, videos and simulations
and paper readings.
This instructor-led seminar is based on business
case exercises related to the attendees' professional
needs and ~95% is practical when asked without
mathematical proofs, otherwise the practical part is
~65%. The attendees may bring (recommended)
their professional data and issues to work on.
TRAINER(S)
1-2 BMD physicists or mathematicians
TOOLS
MS Office Excel, Open Calc, Minitab, Tanagra,
SPSS, R or any other spreadsheet/stat like software.
Laptops or computers with VirtualPC or VMware
player are strongly recommended.
BOOK
Elements of Applied Mathematics for Engineers
ISBN: 978-2-8399-0932-7 (7,276 pages PDF)
This complete and detailed book frees participants
from the distracting task of note taking.
AVAILABLE SEMINAR LANGUAGES
Material and discussion language can be in French,
English or German depending on the audience.
CONTACT
info@scientific-evolution.com
FUNCTIONAL LEVEL
Business Analyst, Financial/Insurance/Treasury
Analyst, Engineer, Project Manager/Analyst,
Clinician, Laboratory Assistant, Team Leader, Dpt.
Leader, Quality Manager/Analyst, CEO, CFO,
CRO, Human Resource Manager, Students, etc.
DIFFICULTY / BLOOM'S TAXONOMY LEVEL
Bachelor (Level 3/6)/Evaluations (Level 6/6)
EXAM / TEST
A four-hour test is strongly recommended before
and after the seminar to assess trainee's knowledge
and performance.
PRICE / DATES
For estimate prices refer to page 45
Dates on demand
Keywords: indicators, average, standard deviation, percentiles, survey analysis, seminar, course, training
13. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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Detailed seminar program =
Goal Description ~Duration [min.]
01 Introduction 30
02 Purpose and limitations of statistics (statistical thinking) 30
03 About the rigor level 10
04 Tools and implementation 10
05 About ISO standards for statistics 15
06 How to communicate statistics 10
07 Population and sample 20
08 Class interval and Laplace smoothing 15
09 Measure (punctual) of location and dispersion 45
10 Arithmetic average (mean) 15
11 Geometric average (mean) 20
12 Moving and pondered average (weighted arithmetic mean) 25
13 Percentiles (median, quartile, etc.) and their use for outliers detection in the
case of skewed or non-skewed distributions
WP 75/WhP 25
14 Mode(s) vs Median vs Average 5
15 Box and Whisker plots 25
16 Standard Deviation/Variance (Pearson Stdev) and semi-Variance 20
17 Average and Standard deviation properties WP 70/WhP 25
18 Huygens relation WP 10/WhP 5
19 Average of the absolute deviation 10
20 Standard error (of the mean) WP 30/WhP 10
21 Coefficient of variation 5
22 Finite population correction factor (fpc) WP 60/WhP 10
23 Covariance WP 25/WhP 15
24 Covariance matrix and nearest correlation matrix problem WP 15/WhP 20
25 Correlation coefficient (Pearson), partial correlation and predicted correlation WP 50/WhP 20
26 Braford Hill criterion 15
27 Outliers analysis WP 70/WhP 15
28 Diversity index WP 90/WhP 15
29 Discrete and continuous mean and standard deviation WP 15/WhP 10
30 Jensen's inequality WP 30/WhP 10
31 Distribution and density function definition 20
32 Density plot and class interval (Sturges rule) WP 40/WhP 20
33 Empirical distribution function (EDF) and fundamental postulate 15
34 Discrete and continuous uniform distribution WP 40/WhP 20
35 Triangular distribution (three-point estimates) WP 40/WhP 20
36 Bernoulli distribution WP 35/WhP 20
37 Geometric distribution WP 30/WhP 20
38 Binomial distribution WP 30/WhP 20
39 Negative binomial distribution WP 50/WhP 20
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Goal Description ~Duration [min.]
38 Hypergeometric distribution WP 60/WhP 20
39 Poisson distribution WP 50/WhP 20
40 Gauss-Laplace/Normal distribution WP 90/WhP 20
41 Henry and Q-Q plot 40
42 Stability of a distribution WP 60/WhP 15
43 Bivariate Normal Distribution WP 40/WhP 15
44 Log-normal distribution WP 60/WhP 20
45 Weibull distribution WP 50/WhP 20
46 Type I Pareto distribution (fractal nature) WP 70/WhP 20
47 Exponential distribution WP 60/WhP 20
48 Cauchy distribution WP 50/WhP 20
49 Beta distribution & Beta distribution of the first kind (two-points estimate) WP 110/WhP 20
50 Gamma and Generalized Gamma distribution (with Erlang connection) WP 70/WhP 20
51 Chi-squared (Pearson) and noncentral chi-squared distribution 40
52 Student distribution WP 90/WhP 20
53 Fisher-Snedecor distribution WP 60/WhP 20
54 General folded distribution and half-normal distribution WP 50/WhP 20
55 Benford distribution WP 40/WhP 20
56 Population and sample Skewness and Kurtosis (shape parameters) WP 50/WhP 10
57 Heavy-tailed, fat-tailed and thin-tailed distribution WP 20/WhP 10
58 Markov's inequality WP 25/WhP 15
59 Bienaymé-Tchebychev's inequality WP 25/WhP 15
60 Weak law of large numbers (fundamental theorem of Monte Carlo) WP 50/WhP 15
61 Characteristic function WP 180/WhP 30
62 Central limit theorem WP 420/WhP 15
63 Normal approximations WP 60/WhP 15
64 Biased and non-biased location and dispersion measures WP 180/WhP 30
65 Variance estimation for sample quantiles WP 40/WhP 10
66 Propagation of simple absolute/relative and statistical errors WP 50/WhP 25
67 Seminar conclusion and feedback 30
68 Open Book Exam (on demand only) 240
Good to know: This seminar is very useful to understand how to analyze and use important theoretical models in advanced
finance, engineering, quality control and to avoid some typical errors of analysis in complex business simulations. Depending
on the country and university or engineering school, this seminar outline corresponds to a Bachelor or Master level.
15. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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IDTT03: Parametric inferential statistics (hypothesis testing)
AIM AND OBJECTIVE
The aim of this seminar is to understand: when and
how parametric hypothesis testing is used, the
general concept of comparing a test statistic vs. an
acceptable risk value, the role the p-value takes in
the decision process, how parametric hypothesis
testing relates to practical problems and solutions,
how and risks relate to hypothesis testing. The
objective is to be able to understand how and when
to apply the power of hypothesis testing on a daily
business basis.
TARGET AUDIENCE
Anyone who wants to learn how to apply
fundamentals of parametric test hypothesis from
scratch or people with a (E)MBA, CFA, FRM,
CAIA, CII, CAPM/PMP or 6 Master Black
certificate who wants to go much deeper in statistics
or refresh their knowledge.
PREREQUISITES / ADMISSION CRITERIA
A four-hour admission test with a one-hour
interview is strongly recommended before and after
the seminar to test mathematics and business skills.
Attendees must have at least an undergraduate
degree or global equivalent to the content of IDTT02
if the seminar is requested with mathematical proofs.
SUGGESTED DURATION
The whole program is on 4 days (7 hours per day)
without proofs (WhP) and on 10 days with proofs
(WP). It can be customized on needs (available in
minutes next to each module conforming to AFNOR
NF X50 756) including or not an assessment test
(open book exam).
ORGANIZATION
The sessions occur in a classroom with computers
installed and up-to-date, a beamer and a
flipchart/whiteboard or blackboard. Cellphones and
mails are forbidden during the seminar.
ATTENDEES
Maximum 50/Minimum 1
CERTIFICATION
An e-Certificate with a supplement will be awarded
to each participant who has successfully attended at
least 80% of the seminar and pass the exam.
PEDAGOGICAL METHOD
You will learn from relevant case studies, open
sessions to discuss your issues, group or individual
computer-based exercises, videos and simulations
and paper readings.
This instructor-led seminar is based on business
case exercises related to the attendees' professional
needs and ~95% is practical when asked without
mathematical proofs, otherwise the practical part is
~50%. The attendees may bring (recommended)
their professional data and issues to work on.
TRAINER(S)
1-2 BMD physicists or mathematicians
TOOLS
MS Office Excel, Open Calc, Minitab, Tanagra,
SPSS, R, Oracle or any other spreadsheet/stat like
software. Laptops or computers with VirtualPC or
VMware player are strongly recommended.
BOOK
Elements of Applied Mathematics for Engineers
ISBN: 978-2-8399-0932-7 (7,276 pages PDF)
This complete and detailed book frees participants
from the distracting task of note taking.
AVAILABLE SEMINAR LANGUAGES
Material and discussion language can be in French,
English or German depending on the audience.
CONTACT
info@scientific-evolution.com
FUNCTIONAL LEVEL
Business Analyst, Financial/Insurance/Treasury
Analyst, Engineer, Project Manager/Analyst,
Clinician, Laboratory Assistant, Team Leader, Dpt.
Leader, Quality Manager/Analyst, CEO, CFO,
CRO, Human Resource Manager, Students, etc.
DIFFICULTY / BLOOM'S TAXONOMY LEVEL
Bachelor (Level 3/6)/Evaluations (Level 6/6)
EXAM / TEST
A four-hour test is strongly recommended before
and after the seminar to assess trainee's knowledge
and performance.
PRICE / DATES
For estimate prices refer to page 45
Dates on demand
Keywords: statistics, test hypothesis, confidence interval, adjustment test, survey analysis, seminar, course, training
16. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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Detailed seminar program =
Goal Description ~Duration [min.]
01 Introduction 30
02 Tools and implementation 10
03 About the rigor level 10
04 About ISO standards for statistics (ISO 10017:2003, ISO 3534:2006, ...) 15
05 Importance of NHST models assumptions 10
06 Some words on statistical tests types
(Distribution/Adequation tests, Location tests, Dispersion test, Correlation tests, Concordance tests, Interaction tests,
Equivalence tests, univariate or multivariate tests)
30
07 Fluctuation vs Confidence vs Tolerance vs Prediction vs Credibility Interval 10
08 p-value + large sample size issues and fallacies related to the power of tests 10
09 One sided or two-sided omnibus tests and post-hoc tests 15
10 Null and alternative hypothesis and p-value hacking 20
11 Type I (false positive)/Type II (false negative) errors (with MCS examples) 45
12 Power of a test ("a priori" and "observed power") 30
13 Hypothesis tests for the mean with known variance (Z test) and power test WP 40/WhP 25
14 Hypothesis tests for the mean with unknown variance (t test) and power test WP 40/WhP 25
15 Population size for mean confidence interval (power test @ 50%) 5
16 Hypothesis test for the difference of means with known/unknown variance WP 50/WhP 30
17 Hypothesis test for the ratio of two means (Fieller Theorem) WP 60/WhP 10
18 Hypothesis test for the standard deviation with known/unknown mean
(chi-square variance test)
WP 100/WhP 40
19 Effect sizes and equivalence tests (TOST test) WP 30/WhP 10
20 Poisson hypothesis tests for rare events (Poisson's test) WP 120/WhP 30
21 Binomial exact test WP 25/WhP 15
22 Hypothesis tests for a proportion/frequency (p-test, also called A/B testing) WP 35/WhP 15
23 Population size for proportion (power for p-test) WP 20/WhP 10
24 Test of equality of two proportions (two samples p-test)/Risk Difference and
Number Need to Treat
WP 25/WhP 15
25 Non-parametric bootstrapping inference technique (bagging) 40
26 Chi-squared test for goodness of fit WP 55/WhP 15
27 Chi-squared test for independence (Pearson's independence test) WP 40/WhP 15
28 Likelihood ratio test WP 40/WhP 10
29 Fisher's exact test WP 50/WhP 15
30 McNemar's test WP 50/WhP 25
31 Fisher's test for equality of variances WP 40/WhP 15
32 Independent homoscedastic/heteroscedastic two sample t-test (+Welch's t test) WP 50/WhP 30
33 Paired t-test WP 40/Whp 15
34 Balanced one-way fixed factor ANOVA (CBD: Complete Block Design) WP 120/WhP 30
35 Interactions and variance within/between (and intraclass correlation) 40
36 Balanced two-way fixed factors ANOVA with replication (Randomized CBD) WP 90/WhP 30
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Goal Description ~Duration [min.]
37 Balanced fixed factors multifactorial ANOVA 20
38 Type I, II or III ANOVAs WP 60/WhP 20
39 Balanced one-way blocked ANOVA 20
40 Balanced fixed factor hierarchical (nested) ANOVA WP 70/WhP 30
41 Bonferroni and Fisher's correction for multiple tests (Inflation of the Type I
Error)
WP 40/WhP 15
42 Fisher's LSD, Tukey's and SNK ANOVA post-hoc test (honestly significant
difference tests)
WP 90/WhP 15
43 Latin Square ANOVA without repetitions WP 90/WhP 20
44 Greaco-Latin Square ANOVA without repetitions WP 110/WhP 20
45 Shapiro-Wilk Normality test (Ryan-Joiner approach) WP 50/WhP 20
46 Dixon's Q-test & Grubb's test outliers detection (Monte Carlo) 40
47 Cochran-C test for variance outliers detection WP 35/WhP 15
48 Test for periodicity (statistical description of Fourier coefficients) WP 390/WhP 30
49 Seminar conclusion and feedback 30
50 Open Book Exam (on demand only) 240
Good to know: Some thirty years ago, it was only necessary to know about a dozen statistical tests in order to be a practicing
business analyst or R&D engineer. In recent years the number of tests has grown tremendously and, while modern books and
softwares carry the more common tests, it is often quite difficult for the end-user (manager, engineer) to know the assumptions
and interpretation practices of existing advanced statistical parametric tests. Depending on the country and university or
engineering school, this seminar outline corresponds to a undergraduate or Bachelor level
18. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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IDTT04: Non-parametric statistics
AIM AND OBJECTIVE
The aim of this seminar is to understand non-
parametric statistics where no assumption is made
about the probability distribution of the population
under study. While most sample tests assume that
the parent population of the sample data is normally
distributed, the statistical methods of nonparametric
statistics are valid for any probability distribution
that the population may have. The objective is to be
able to understand how and when to apply the power
of bachelor level non parametric statistics and non-
parametric hypothesis testing on a daily business
basis in comparison with parametric techniques.
TARGET AUDIENCE
Anyone who wants to learn how to apply
fundamentals of non-parametric statistics hypothesis
from scratch or people with a (E)MBA, CFA,
CAPM/PMP or 6 Master Black Belt certificate
who wants to go much deeper in statistics.
PREREQUISITES / ADMISSION CRITERIA
A four-hour admission test with a one-hour
interview is strongly recommended before and after
the seminar to test mathematics and business skills.
Attendees must have at least an undergraduate
degree or global equivalent to the content of IDTT03
if the seminar is requested with mathematical proofs.
SUGGESTED DURATION
The whole program is on 3 days (7 hours per day)
without proofs (WhP) and on 6 days with proofs
(WP). It can be customized on needs (available in
minutes next to each module conforming to AFNOR
NF X50 756) including or not an assessment test
(open book exam).
ORGANIZATION
The sessions occur in a classroom with computers
installed and up-to-date, a beamer and a
flipchart/whiteboard or blackboard. Cellphones and
mails are forbidden during the seminar.
ATTENDEES
Maximum 50/Minimum 1
CERTIFICATION
An e-Certificate with a supplement will be awarded
to each participant who has successfully attended at
least 80% of the seminar and pass the exam.
PEDAGOGICAL METHOD
You will learn from relevant case studies, open
sessions to discuss your issues, group or individual
computer-based exercises, videos and simulations
and paper readings.
This instructor-led seminar is based on business
case exercises related to the attendees' professional
needs and ~95% is practical when asked without
mathematical proofs, otherwise the practical part is
~65%. The attendees may bring (recommended)
their professional data and issues to work on.
TRAINER(S)
1-2 BMD physicists or mathematicians
TOOLS
MS Office Excel, Open Calc, Minitab, Tanagra,
SPSS, R, Oracle or any other spreadsheet/stat like
software. Laptops or computers with VirtualPC or
VMware player are strongly recommended.
BOOK
Elements of Applied Mathematics for Engineers
ISBN: 978-2-8399-0932-7 (7,276 pages PDF)
This complete and detailed book frees participants
from the distracting task of note taking.
AVAILABLE SEMINAR LANGUAGES
Material and discussion language can be in French,
English or German depending on the audience.
CONTACT
info@scientific-evolution.com
FUNCTIONAL LEVEL
Business Analyst, Financial/Insurance/Treasury
Analyst, Engineer, Project Manager/Analyst,
Clinician, Laboratory Assistant, Team Leader, Dpt.
Leader, Quality Manager/Analyst, CEO, CFO,
CRO, Human Resource Manager, Students, etc.
DIFFICULTY / BLOOM'S TAXONOMY LEVEL
Master (Level 4/6)/Evaluations (Level 6/6)
EXAM / TEST
A four-hour test is strongly recommended before
and after the seminar to assess trainee's knowledge
and performance.
PRICE / DATES
For estimate prices refer to page 45
Dates on demand
Keywords: non-parametric statistics, non-parametric test hypothesis, non-parametric adjustment test, survey analysis
19. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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- 18/51 -
Detailed seminar program =
Goal Description ~Duration [min.]
01 Introduction 30
02 Tools and implementation 10
03 About the rigor level 10
04 About ISO standards for statistics (ISO 10017:2003, ISO 3534:2006, ...) 15
05 Parametric vs Non-parametric (distribution-free) statistics and common
misconceptions on non-parametric tests
15
06 Fundamentals of robust statistics moments (L-estimators, M-estimators) 30
07 Ranks distribution law WP 45/WhP 10
07 Distribution free confidence interval for percentiles WP 30/WhP 10
07 Spearman's rho correlation coefficient WP 75/WhP 20
08 Exact/Approximate Wilcoxon sum rank test for two independent equal size
samples
WP 140/WhP 20
09 Exact/Approximate Mann-Withney U sum rank test for two independent non
equal size samples
WP 90/WhP 25
10 Wilcoxon signed-rank test for one sample WP 40/WhP 20
11 Wilcoxon signed-rank test for comparing paired samples WP 30/WhP 20
12 Sign test WP 30/WhP 15
13 Mood's test WP 40/WhP 15
14 Wald–Wolfowitz runs test WP 120/WhP 10
15 One/Two sample Kolmogorov-Smirnov (Lilliefors approach) and Cramér-von
Mises goodness of fit tests
WP 95/WhP 25
16 Anderson-Darling goodness of fit test WP 85/WhP 25
17 Kernel density estimation (KDE) vs Histogram WP 80/WhP 20
18 Kernel regression WP 25/WhP 10
19 Bonferroni and Fisher's correction for multiple tests (Inflation of the Type I
Error)
WP 40/WhP 15
20 Levene's test or Brown-Forsythe test for equality (homogeneity) of variances 60
21 Kruskal-Wallis ANOVA post-hoc test WP 60/WhP 15
22 Friedman test (Friedman's ANOVA by ranks) WP 70/WhP 15
23 Extreme value theory (Hartley Constant) WP 50/WhP 15
24 Factorial correspondence analysis (FCA) 50
25 Simple non-parametric principal component analysis (PCA) WP 150/WhP 25
26 Seminar conclusion and feedback 30
27 Open Book Exam (on demand only) 240
Good to know: Non-parametric statistic is a must have for complex analysis where the data are not necessarily Normal
distributed or symmetric. Depending on the country and university or engineering school, this seminar outline corresponds to a
Master or PhD level in finance, social or medical sciences.
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- 19/51 -
IDTT05: Quantitative Forecasting and Time series analysis
AIM AND OBJECTIVE
The aim of this seminar is to enhance the
understanding of business forecasting from an
applied perspective and how forecasts are actually
developed and utilized at bachelor level,
emphasizing modern statistical methods and
quantitative forecasting techniques. Specific
applications to business include forecasting sales,
production, inventory, macroeconomic factors such
as interest rates and exchange rates, and other
aspects of both short- and long-term business
planning.
TARGET AUDIENCE
Anyone who wants to learn how to apply
fundamentals of forecasting bachelor level
techniques from scratch or people with a (E)MBA,
CFA, CAPM/PMP or 6 Master Black Belt
certificate who wants to go much more in business
behavior simulation.
PREREQUISITES / ADMISSION CRITERIA
A four-hour admission test with a one-hour
interview is strongly recommended before and after
the seminar to test mathematics and business skills.
Attendees must have at least an undergraduate
degree or global equivalent to the content of IDTT03
if the seminar is requested with mathematical proofs.
SUGGESTED DURATION
The whole program is on 5 days (7 hours per day)
without proofs (WhP) and on 11 days with proofs
(WP). It can be customized on needs (available in
minutes next to each module conforming to AFNOR
NF X50 756) including or not an assessment test
(open book exam).
ORGANIZATION
The sessions occur in a classroom with computers
installed and up-to-date, a beamer and a
flipchart/whiteboard or blackboard. Cellphones and
mails are forbidden during the seminar.
ATTENDEES
Maximum 50/Minimum 1
CERTIFICATION
An e-Certificate with a supplement will be awarded
to each participant who has successfully attended at
least 80% of the seminar and pass the exam.
PEDAGOGICAL METHOD
You will learn from relevant case studies, open
sessions to discuss your issues, group or individual
computer-based exercises, videos and simulations
and paper readings.
This instructor-led seminar is based on business
case exercises related to the attendees' professional
needs and ~95% is practical when asked without
mathematical proofs, otherwise the practical part is
~35%. The attendees may bring (recommended)
their professional data and issues to work on.
TRAINER(S)
1-2 BMD physicists or mathematicians
TOOLS
MS Office Excel, Open Calc, Minitab, SPSS, R,
Python, Microsoft Power BI or any other
spreadsheet/stat like software. Laptops or
computers with VirtualPC or VMware player are
strongly recommended.
BOOK
Elements of Applied Mathematics for Engineers
ISBN: 978-2-8399-0932-7 (7,276 pages PDF)
This complete and detailed book frees participants
from the distracting task of note taking.
AVAILABLE SEMINAR LANGUAGES
Material and discussion language can be in French,
English or German depending on the audience.
CONTACT
info@scientific-evolution.com
FUNCTIONAL LEVEL
Business Analyst, Financial/Insurance/Treasury
Analyst, Financial Reporting Officer, Engineer,
Project Manager/Analyst, Clinician, Team Leader,
Dpt. Leader, Quality Manager/Analyst, Marketing
Manager, CEO, CFO, CRO, Human Resource
Manager, Engineer, Students, etc.
DIFFICULTY / BLOOM'S TAXONOMY LEVEL
Master (Level 4/6)/Evaluations (Level 6/6)
EXAM / TEST
A four-hour test is strongly recommended before
and after the seminar to assess trainee's knowledge
and performance.
PRICE / DATES
For estimate prices refer to page 45
Dates on demand
Keywords: time series, regression, gml, logistic, exponential smoothing, moving average, fourier transform
21. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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- 20/51 -
Detailed seminar program =
Goal Description ~Duration [min.]
01 Introduction 30
02 Tools and implementation 10
03 About the rigor level 10
04 Definition of common errors indicators in deterministic time series analysis 20
05 Time series composition/decomposition (trend, seasonality, cyclicity, noise) 60
06 Autocorrelation coefficient and autocorrelograms WP 25/WhP 10
07 Deterministic vs Stochastic models 20
08 Simple moving average WP 20/WhP 15
09 Weighted moving average WP 20/WhP 15
10 Linear regression model with a single regressor (least squares method) WP 40/WhP 15
11 The Durbin-Watson NHST test for autocorrelation detection WP 30/WhP 10
12 Forward, Backward, Best subset (hierarchical) linear regression and sensitivity 30
13 Linear regression model with a single regressor forced to the origin (OLS) WP 20/WhP 10
14 Regression models with Z-scores (centered variables) for sensitivity analysis 30
15 Linear regression model with a single regressor (Gaussian approach) WP 280/WhP 45
16 Pearson correlation coefficient confidence interval and hypothesis test WP 65/WhP 20
17 Linear regression model with multiple regressors (ordinary least squares),
NNLS (non-negative least squares) and CLS (constrained least squares)
WP 130/WhP 30
18 Outlier vs influential points in regression and leverage score 30
19 ANOVA for simple and multiple linear regression (omnibus F-test and
variable importance)
WP 80/WhP 20
20 Fisher's lack-of-fit test WP 20/WhP 5
21 Type of residuals (normal, standardized, semistudentized, studentized, …) 30
22 DFIT (DifFerence In Fit) and Cook's distance (influential points) 30
23 Multicollinearity analysis with Variance Inflation Factor (VIF) WP 90/WhP 20
24 Linear regression with binary or dummy variables w/without interactions 30
25 Heuristic linear regression model with seasonal adjustment 40
26 Hierarchical, moderated multiple regression analysis WP 30/WhP 15
27 Non-linear regression by linearization or Taylor series expansion WP 260/WhP 80
28 Weighted Least Square regression (WLS) WP 60/WhP 15
29 Polynomial regression WP 40/WhP 20
30 Nonlinear regression (Gauss-Newton) WP 150/WhP 20
31 Binary logistic regression with scoring (propensity score) and also Lift/ROC
Curves and Sensitivity, Sensibility scores, F1 score, Log-Loss, relative
variable importance
WP 90/WhP 30
32 Multinomial logistic regression WP 60/WhP 15
33 Non censored least absolute deviation quantile regression WP 30/WhP 10
34 Generalized Linear Model: Normal Gaussian WP 60/WhP 20
35 Generalized Linear Model: Poisson WP 50/WhP 20
36 Generalized Linear Model: Binomial WP 50/WhP 20
37 Generalized Linear Model: Negative Binomial NB-2/NB-C WP 80/WhP 20
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Goal Description ~Duration [min.]
38 Generalized Linear Model: Gamma WP 50/WhP 20
39 Measures of forecast accuracy 30
40 Models selection criteria (AIC, BIC, MSE, Mallow's Cp) WP 240/WhP 30
41 Exponential moving average (EWMA) ARIMA(0,1,1) WP 40/WhP 25
42 Brown's double exponential smoothing (BDES) WP 70/WhP 25
43 Holt's double exponential smoothing ARIMA(0,2,2) (additive model) WP 60/WhP 25
44 Holt's and Winter triple exponential smoothing (multiplicative model) WP 40/WhP 25
45 Principles of forecasting using Linear Minimal Mean Square Estimation
(LMMSE)
WP 30/WhP 5
46 Coston, Syntetos and Boylan intermittent demand forecasting models 30
47 About ETS (Error, Trend Seasonality) models 30
48 Simulate univariate Brownian motions (AR(1) or ARIMA(1,0,0)) 10
49 Univariate seasonal additive ARIMA: SARIMA WP 40/WhP 10
50 ARFIMA and SARFIMA fractional processes 20
51 Univariate ARCH-GARCH process WP 100/WhP 30
52 Vector Autoregressive Model (VAR) WP 85/ WhP 15
53 Fast Fourier transform for spectral analysis WP 330/WhP 35
54 Recurrent one-layer neural networks and Restricted Boltzmann machine WP 150/WhP 40
55 Use ex post forecast performance for back testing 10
56 Analyze forecast errors based on control charts 10
57 Seminar conclusion and feedback 30
58 Open Book Exam (on demand only) 240
Good to know: Even if forecasting technics are subject to numerous conflicts in scientific papers, most C.E.O and C.F.O. of
Fortune 500 companies request their business managers to provide advanced statistical forecasts of the main corporate K.P.I.
Forecasting technics are also used a lot in quantitative finance for pricing and hedging. For these reasons this seminar provides
the basics that every advanced business manager, financial analyst or risk consultant has to know in the 21st
century.
Depending on the country and university or engineering school, this seminar outline corresponds to a Master or PhD level in
finance or supply chain.
23. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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- 22/51 -
IDTT06: Quantitative Quality control (industrial statistics)
AIM AND OBJECTIVE
Many companies fail in quality management
practices because of missing quant skills. The aim of
this seminar is to understand how quantitative
quality control techniques can help organizations to
meet quality requirements, improve processes and
solve or anticipate performance problems. The
objective is to learn common bachelor level
operational techniques and tools needed to verify
requirements of quality.
TARGET AUDIENCE
Quality management seminars attract a diverse
audience, including quality control analysts
(certified quality engineer or not), industrial
production managers, lean engineers and operations
research analysts. Other potential attendees include
production engineers and product quality auditors or
anyone with an intellectual curiosity for quality
management.
PREREQUISITES / ADMISSION CRITERIA
A four-hour admission test with a one-hour
interview is strongly recommended before and after
the seminar to test mathematics and business skills.
Attendees must have at least an undergraduate
degree or global equivalent to the content of
IDTT03+IDTT04 if the seminar is requested with
mathematical proofs.
SUGGESTED DURATION
The whole program is on 6 days (7 hours per day)
without proofs (WhP) and on 10 days with proofs
(WP). It can be customized on needs (available in
minutes next to each module conforming to AFNOR
NF X50 756) including or not an assessment test
(open book exam).
ORGANIZATION
The sessions occur in a classroom with computers
installed and up-to-date, a beamer and a
flipchart/whiteboard or blackboard. Cellphones and
mails are forbidden during the seminar.
ATTENDEES
Maximum 50/Minimum 1
CERTIFICATION
An e-Certificate with a supplement will be awarded
to each participant who has successfully attended at
least 80% of the seminar and pass the exam.
PEDAGOGICAL METHOD
You will learn from relevant case studies, open
sessions to discuss your issues, group or individual
computer-based exercises, videos and simulations
and paper readings.
This instructor-led seminar is based on business
case exercises related to the attendees' professional
needs and ~95% is practical when asked without
mathematical proofs, otherwise the practical part is
~66%. The attendees may bring (recommended)
their professional data and issues to work on.
TRAINER(S)
1-2 BMD physicists or mathematicians
TOOLS
MS Office Excel, Open Calc, Minitab, SPSS, R or
any other spreadsheet/stat like software. Laptops or
computers with VirtualPC or VMware player are
strongly recommended.
BOOK
Elements of Applied Mathematics for Engineers
ISBN: 978-2-8399-0932-7 (7,276 pages PDF)
This complete and detailed book frees participants
from the distracting task of note taking.
AVAILABLE SEMINAR LANGUAGES
Material and discussion language can be in French,
English or German depending on the audience.
CONTACT
info@scientific-evolution.com
FUNCTIONAL LEVEL
Business Analyst, Engineer, Clinician, Project
Manager/Analyst, Laboratory Assistant, Team
Leader, Dpt. Leader, Quality Manager/Analyst,
Students, etc.
DIFFICULTY / BLOOM'S TAXONOMY LEVEL
Bachelor (Level 3/6)/Evaluations (Level 6/6)
EXAM / TEST
A four-hour test is strongly recommended before
and after the seminar to assess trainee's knowledge
and performance.
PRICE / DATES
For estimate prices refer to page 45
Dates on demand
Keywords: gage r&r, capability, acceptance sampling, control charts, average run length, operating curve, upper control limit,
lower control limit, seminar, course, training
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Detailed seminar program =
Goal Description ~Duration [min.]
01 Introduction 30
02 About cost of quality 10
03 About the rigor level 10
04 About ISO standards for statistics (ISO 17025:2005, ISO 10017:2003, ...) 15
05 Tools and implementation 10
06 Statistical thinking 20
07 How to communicate statistics 10
08 Defects per unit opportunity (DPO) 10
09 Defects per million opportunities (DPMO) 10
10 Rolled troughput yield with hypergeometric, Poisson and Normal distributions WP 30/WhP 15
11 Upper and Lower specification limits (USL/LSL) 10
12 Capability analysis under Gaussian distribution assumption (Cpk, Ppk, etc.) 15
13 Gauge capabilities (Cg, Cgk) 15
14 Short (instantaneous) vs Long (global) dispersion 20
15 Short term process capability and short-term deviation 5
16 Long term process capability and short-term deviation 5
17 Process target 10
18 Process capability index (within) and position bias WP 15/WhP 10
19 Upper and lower capability index (CPU/LPU) WP 20/WhP 5
20 Short term non centered capability WP 20/WhP 5
21 Defect Metrics PPM WP 35/WhP 20
22 Six Sigma quality level WP 60/WhP 40
23 Gage linearity and biased study (repeatability & reliability) WP 50/WhP 30
24 Gage R&R study (crossed) for continuous variables WP 70/WhP 40
25 Cronbach's alpha reliability WP 20/WhP 40
26 Orthogonal/Deming regression WP 60/WhP 20
27 Attribute gage study (analytical method) 50
28 Cohen's Kappa 40
29 Taguchi loss of quality function with target criteria WP 40/WhP 25
30 Control charts presentations 20
31 Control chart vs Run chart 5
32 Shewhart and WECO Rule 15
33 About USL/LSL, UCL/LCL, CL/T, ARL (type I error) and OC (type II error) 30
34 Identify thanks to ARL suspicious over quality indicators 15
35 Attribute control charts P/NP+Laney P WP 100/WhP 35
36 Attribute control charts C/U+Laney U WP 60/WhP 40
37 Variable control chart for individual values with specified limits 20
38 Variable control chart for individual values with mean and short standard dev. 20
39 Variable control chart with means and standard error WP 40/WhP 20
40 Variable control charts Sbar-S/Xbar-S WP 115/WhP 65
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Goal Description ~Duration [min.]
41 Levey-Jennings control charts WP 30/WhP 10
42 Variable control charts Rbar-R/Xbar-R WP 90/WhP 30
43 Autocorrelated control charts I-MR X-bar (MR-(2) control chart) WP 70/WhP 30
44 Autocorrelated control charts I-MR MR WP 70/WhP 30
45 Autocorrelated control charts MA WP 50/WhP 30
46 Autocorrelated control charts CUSUM with V-Mask (Page-Hinkley charts) WP 70/WhP 30
47 Autocorrelated control charts Xbar-EWMA-R/Xbar-MA-EWMA WP 130/WhP 60
48 Frequency control charts FP WP 90/WhP 40
49 Frequency control charts G (rare events) WP 90/WhP 30
50 Frequency control charts T (rare events) WP 90/WhP 30
51 T2
Hotelling multivariate control chart (chi-2 approach) with error ellipse WP 120/WhP 30
52 Efficiency curve (operating characteristic curve) for X-bar and P control
charts
20
53 Statistical sampling 20
54 Simple, double or sequential acceptance sampling 15
55 Provider and customer risk or acceptance quality level (AQL) 20
56 Acceptance sampling by measure for a single tolerance with known variance WP 80/WhP 20
57 Parameters calculation based on AF-X06-023 20
58 Acceptance sampling by attribute based on hypergeometric and binomial distr. WP 130/WhP 40
59 Parameters calculation based on ISO 2859-1 20
60 Efficiency curve (operating characteristic curve) for sampling 20
61 Average Outgoing Quality (AOQL) 20
62 Seminar conclusion and feedback 30
63 Open Book Exam (on demand only) 240
Good to know: The techniques that are studied in this seminar are especially useful if you are responsible in R&D for very
complicated machines whose failures are a risk for people life as for the company reputation (the N.A.S.A. and U.S. army use
these techniques!) or in the production on hundreds of millions of devices who require a high level of reliability. Depending on
the country and university or engineering school this seminar outline corresponds to a Master or PhD level in engineering.
26. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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IDTT07: Quantitative Finance
AIM AND OBJECTIVE
You need to stay on top of economic and financial
tools and integrate them into your day-to-day
operations? Choose among financial alternatives for
a large investment project and deal with the risks
facing your company? In this seminar we will
examine the most useful financial bachelor level
concepts and review best-practice use of classical
finance techniques.
TARGET AUDIENCE
This program is suitable for people in Investment
banking, Project management, Business planning &
strategy, Private equity funds or commercial
banking. It is also ideal for CA, CFA, FRM, CAIA,
CIIA, MBA Finance and Commerce Graduates.
PREREQUISITES / ADMISSION CRITERIA
A four-hour admission test with a one-hour
interview is strongly recommended before and after
the seminar to test mathematics and business skills.
Attendees must have at least a graduate degree and a
good knowledge of linear algebra, differential
calculus, advanced statistics and Fourier transform if
seminar is requested with mathematical proofs.
SUGGESTED DURATION
The whole program is on 9 days (7 hours per day)
without proofs (WhP) and on 15 days with proofs
(WP). It can be customized on needs (available in
minutes next to each module conforming to AFNOR
NF X50 756) including or not an assessment test
(open book exam).
ORGANIZATION
The sessions occur in a classroom with computers
installed and up-to-date, a beamer and a
flipchart/whiteboard or blackboard. Cellphones and
mails are forbidden during the seminar.
ATTENDEES
Maximum 50/Minimum 1
CERTIFICATION
An e-Certificate with a supplement will be awarded
to each participant who has successfully attended at
least 80% of the seminar and pass the exam.
PEDAGOGICAL METHOD
You will learn from relevant case studies, open
sessions to discuss your issues, group or individual
computer-based exercises, videos and simulations
and paper readings.
This instructor-led seminar is based on business
case exercises related to the attendees' professional
needs and ~95% is practical when asked without
mathematical proofs, otherwise the practical part is
~60%. The attendees may bring (recommended)
their professional data and issues to work on.
TRAINER(S)
1-2 BMD physicists or mathematicians
TOOLS
MS Office Excel, Open Calc, @Risk, Tanagra,
SPSS, R, MATLAB, Python, Microsoft Power BI
or any other spreadsheet/stat like software. Laptops
or computers with VirtualPC or VMware player are
strongly recommended.
BOOK
Elements of Applied Mathematics for Engineers
ISBN: 978-2-8399-0932-7 (7,276 pages PDF)
This complete and detailed book frees participants
from the distracting task of note taking.
AVAILABLE SEMINAR LANGUAGES
Material and discussion language can be in French,
English or German depending on the audience.
CONTACT
info@scientific-evolution.com
FUNCTIONAL LEVEL
Business Analyst, Financial Analyst, Financial
Reporting Officer, Project Manager/Analyst, CEO,
CFO, CRO, Students, etc.
DIFFICULTY / BLOOM'S TAXONOMY LEVEL
Master (Level 4/6)/Evaluations (Level 6/6)
EXAM / TEST
A four-hour test is strongly recommended before
and after the seminar to assess trainee's knowledge
and performance.
PRICE / DATES
For estimate prices refer to page 45
Dates on demand
Keywords: annuities, loans, depreciation, corporate finance, obligations, bonds, derivatives, value at risk, sharpe, markowitz,
brownian motion, fintech, capm, cml, sml, mwrr, twrr, dv01, dd, npv, enpv, irr, var, real estate, business valuation
27. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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Detailed seminar program =
Goal Description ~Duration [min.]
01 Introduction 30
02 Tools and implementation 10
03 About the rigor level 10
04 Worldwide standards (CFA, FRM, CAIA, CIIA, Basel, RiskMetrics,
CreditRisk, ISO 10962, etc.)
20
05 Time and dates calculations (Civil, German, US, European systems) WP 50/WhP 30
06 Simple interest WP 15/WhP 10
07 Simple interest rate equivalence (rate of composed interest) and discount rate WP 15/WhP 10
08 Composed interest (future value vs actualized value) WP 20/WhP 10
09 Composed interest rate equivalence
(Compound Annual Growth Rate - CAGR)
WP 15/WhP 10
10 Geometric mean rate and Harmonic mean prices and rates WP 50/WhP 40
11 Effective, nominal and real interest rate WP 15/WhP 10
12 Continuous (instantaneous) interests/Period log Returns in discrete time WP 75/WhP 30
13 Post and praenumerando annuities WP 100/WhP 50
14 Indivis loan with deadline 20
15 Loan with constant payback WP 30/WhP 20
16 Indivis loan with fixed annuities WP 50/WhP 20
17 Global effective nominal rate 30
18 Cobb-Douglas model WP 50/WhP 20
19 Straight-line depreciation 20
20 Accelerated arithmetic depreciation (Sum-of-Years Digits) WP 40/WhP 20
21 Accelerated geometric depreciation (Declining Balance) WP 35/WhP 20
22 Return on investment (ROI) and Net present value & future value (NPV/NFV) WP 50/WhP 20
23 Internal rate of return (IRR) and Modified Internal rate of return (MIRR) 45
24 eNPV, eIRR (Monte Carlo) 40
25 Payback time 5
26 About modern portfolio theory 20
27 Principle of no arbitrage WP 30/WhP 10
28 Stock exchange tools and mechanism (ask, bid, spread, volatility, yield) 20
29 Shares, bonds, T-Bill, forwards, futures, contingent claim, options, stock-
options (definitions, yield curve, pricing, hedging, Cox-Ingersoll-Ross equivalence, ...)
WP 300/WhP 210
30 Bootstrapping and stripping a yield curve with bonds WP 50/WhP 20
31 Macauley's Duration and Modified Duration (DV01, DD, DVBP/PVBP, D*) WP 50/WhP 20
32 Durand's and Gordon-Shapiro's models (one stage DDM firm pricing) WP 50/WhP 20
33 Bonds loan with constant or non-constant rates and periods WP 40/WhP 20
34 Money weighted rate of return (MWRR) and Hardy's Formula WP 50/WhP 30
35 Time weighted rate of return (TWRR) 20
36 Markowitz efficient set portfolio diversification and frontier model
(Global Minimum Variance Portfolio (GMVP), Tangent Portfolio (TP) and Equally-weighted risk contribution
Portofolio (1/N))
WP 180/WhP 120
37 Sharpe efficient set portfolio diversification model WP 180/WhP 120
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Goal Description ~Duration [min.]
38 Beta and alpha of a portfolio and portfolio risk alteration WP 40/WhP 20
39 Equal risk contribution portfolio (ie risk parity portfolio) WP 30/WhP 10
40 Black-Literman portfolio WP 50/WhP 20
41 Sharpe ratio (SR), Diversification ratio (DR), Tracking error (TE), CALMAR
ratio (with maximum drawdown) and corresponding optimized portfolios
WP 110/WhP 60
42 Capital Asset Pricing Model (CAPM) vs Fama-French three-factor Model 45
43 Fama-French and Carhart Multifactorial Asset Pricing Models 20
44 Capital Market Line (CML) WP 150/WhP 30
45 Security Market Line (SML) WP 80/WhP 20
46 Portfolio covariance and correlation analysis 30
47 Treynor-Black active portfolio management model WP 70/WhP 20
48 Brynson portfolio performance model analysis 40
49 Bachelier stochastic process model (basics of walk theory) WP 120/WhP 20
50 Wiener process and geometric Brownian motion WP 90/WhP 30
51 Brownian bridge WP 50/WhP 30
52 Fundamental option pricing equation 40
53 Itō drift-diffusion processes and Itō–Doeblin theorem with geometric Brownian WP 160/WhP 40
54 Option (Calls and Puts) pricing following Black & Scholes model introduction 20
55 Call-Put parity equation WP 35/WhP 25
56 Black & Scholes vanilla option pricing equation for non-dividend-paying or
paying-dividend underlying asset
WP 230/WhP 50
57 Binomia pricing model for vanilla options and Cox-Ross-Rubinstein limit WP 80/WhP 10
58 The "Greeks" for non-dividend-paying underlying asset WP 40/WhP 20
59 Fokker-Planck equation (Kolmogorov Forward) WP 60/WhP 15
60 Implied volatility vs Local volatility (Dupire model) vs Observed volatility WP 70/WhP 15
61 VIX volatility index WP 80/WhP 20
62 Black's model (76) for the pricing of options on futures 45
63 Parametric and non-parametric scaling or GARCH Value at Risk 30
64 Relative Value at Risk with or without Basel multiplier (BT inequality) WP 60/WhP 20
65 Bond based modified duration Value at Risk (delta VaR + delta gamma VaR) WP 20/WhP 5
66 Absolute Value at Risk WP 40/WhP 20
67 Historical Value at Risk 10
68 Variance-Covariance Value at Risk 15
69 Operational Value at Risk and Surplus Value at Risk 30
70 Credit Value at Risk 10
71 Standard & Poor's Credit Risk and Moody's VaR Equity Coverage table applications WP 40/WhP 20
72 Expected conditional Value at Risk shortfall for Gaussian loss distribution WP 40/WhP 10
73 Portfolio marginal Value at Risk WP 30/WhP 10
74 Non-parametric and parametric bootstrapping inference technique 40
75 Using bivariate Gaussian Copulas with or without Non-Gaussian Margins WP 170/WhP 80
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Goal Description ~Duration [min.]
76 Roll's liquidity (1984) measure WP 60/WhP 20
77 Real estate (SC, CC, II, DR, MR, ... methods) and business valuation (KMV-
model)
WP 500/WhP 230
78 Uncertainty/Sensitivity analysis and tornado charts 40
79 Seminar conclusion and feedback 30
80 Open Book Exam (on demand only) 240
Good to know: This seminar is especially interesting for people that want to understand the basics of how financial institutions
use theoretical models to build financial instruments that are supposed to cover risk investments or that are used to assess their
institution conforming to governmental financial risk standards (reserve requirements). You won't see in this training non-
mathematical investment strategies (or hard to formalized strategies). We will thus mainly focus on pricing, volatility, hedging
and investment strategies. Depending on the country and university or engineering school this seminar outline corresponds to a
Master or PhD level in Finance.
30. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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IDTT08: Quantitative Decisioneering
AIM AND OBJECTIVE
The aim of this seminar is to be able to apply break-
even analysis, using both the graphic and algebraic
approaches, to evaluate new products, services and
decision alternatives using bachelor level heuristic-
based techniques. The objective is to provide advice
and guidance in analyzing information and risks and
to explain how choice-engineering can facilitate
decision-making and encourage everyone to follow
the right procedures and work collaboratively.
TARGET AUDIENCE
Analysts and business decision makers seeking
competency in the area of quantitative management
decisioneering.
PREREQUISITES / ADMISSION CRITERIA
A four-hour admission test with a one-hour
interview is strongly recommended before and after
the seminar to test mathematics and business skills.
Attendees must have at least a graduate degree and
an excellent knowledge of differential calculus and
statistics (IDTT01+02) if seminar is requested with
mathematical proofs.
SUGGESTED DURATION
The whole program is on 4 days (7 hours per day)
with or without proofs. It can be customized on
needs (available in minutes next to each module
conforming to AFNOR NF X50 756) including or
not an assessment test (open book exam).
ORGANIZATION
The sessions occur in a classroom with computers
installed and up-to-date, a beamer and a
flipchart/whiteboard or blackboard. Cellphones and
mails are forbidden during the seminar.
ATTENDEES
Maximum 50/Minimum 1
CERTIFICATION
An e-Certificate with a supplement will be awarded
to each participant who has successfully attended at
least 80% of the seminar and pass the exam.
PEDAGOGICAL METHOD
You will learn from relevant case studies, open
sessions to discuss your issues, group or individual
computer-based exercises, videos and simulations
and paper readings.
This instructor-led seminar is based on business
case exercises related to the attendees' professional
needs and ~95% is practical. The attendees may
bring (recommended) their professional data and
issues to work on.
TRAINER(S)
1-2 BMD physicists or mathematicians
TOOLS
MS Office Excel, Open Calc, @Risk, TreeAge,
MakeItRational, Super Decisions or any other
decision tool like software. Laptops or computers
with VirtualPC or VMware player are strongly
recommended.
BOOK
Elements of Applied Mathematics for Engineers
ISBN: 978-2-8399-0932-7 (7,276 pages PDF)
This complete and detailed book frees participants
from the distracting task of note taking.
AVAILABLE SEMINAR LANGUAGES
Material and discussion language can be in French,
English or German depending on the audience.
CONTACT
info@scientific-evolution.com
FUNCTIONAL LEVEL
Business Analyst, Financial Analyst, Engineer,
Project Manager/Analyst, Marketing Manager,
Team Leader, Dpt. Leader, CEO, CFO, CRO,
Students, etc.
DIFFICULTY / BLOOM'S TAXONOMY LEVEL
Bachelor (Level 2/6)/Evaluations (Level 6/6)
EXAM / TEST
A four-hour test is strongly recommended before
and after the seminar to assess trainee's knowledge
and performance.
PRICE / DATES
For estimate prices refer to page 45
Dates on demand
Keywords: what-if, break-even, nash, pareto, cournot, laplace, markov, decision trees, seminar, course, training, analytical
management
31. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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Detailed seminar program =
Goal Description ~Duration [min.]
01 Introduction 30
02 Tools and implementation 10
03 About the rigor level 10
04 About ISO decisioneering standards (ISO 31000:2009) 15
05 The role of models and sources of error in human decision making (behavior
bias, sunk costs, wisdom of crowds)
60
06 Deterministic what-if analysis 25
07 Condorcet's paradox in voting systems 20
08 Deterministic break-even analysis 25
09 Stochastic what-if analysis 60
10 Stochastic break-even analysis 30
11 Sensitivity analysis 30
12 Simple and multiple Analytical Hierarchical Process (AHP)
(multi-attribute Decision Analysis)
WP 120/WhP 40
13 Game theory vs Decision theory 10
14 Coordination game in extensive (tree) and matrix (normal) form 40
15 Decision in extensive (decision tree) deterministic form with Bayes probabilities 20
16 With or without (perfect or non-perfect) information decisions (EMV) 50
17 Cooperative vs Non-cooperative situations 10
18 Security level prudent tactic 10
19 Zero-sum (strictly competitive) and non-zero-sum (non-competitive) situations 20
20 Situations with Nash equilibrium and Pareto-optimum 20
21 Decision in extensive (tree) stochastic form 60
22 Maximin criterion and minimax (Wald) regret criterion 20
23 Hurwitz and Laplace criteria 50
24 Data envelopment analysis WP 50/WhP 20
25 Evolutionary stable strategies (Hawk-Dove game) 20
26 Basics of Cournot equilibrium 30
27 Markov chain behavior modeling WP 120/WhP 90
28 Gage R&R (repeatability & reliability) analysis WP 70/WhP 40
29 Cohen's Kappa 40
30 TURF (Total Unduplicated Reach and Frequency) analysis WP 40/WhP 10
31 Seminar conclusion and feedback 30
32 Open Book Exam (on demand only) 240
Good to know: This seminar is especially interesting for people that want to deeply understand the various tools discusses in
the ISO 31000 Risk management norm and also other risk/assessment tools that are used a lot in R&D departments. Depending
on the country and university or engineering school this seminar outline corresponds to a Bachelor Master level in
management studies.
32. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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IDTT09: Quantitative Data analysis (data mining)
AIM AND OBJECTIVE
The aim of this seminar is to provide a gentle
introduction to data mining (aka: machine
learning/advanced business intelligence or even Big
Data analysis) for professionals who need to analyze
data themselves, interpret results obtained using data
mining techniques, or give guidance to data analysts.
The goal is to introduce the basic principles,
techniques and methodologies of data mining and
provides the attendees with an overview of the
bachelor level data mining techniques.
TARGET AUDIENCE
The target audience of this seminar consists of
professionals (business analysts or opportunity
analysts) who experience a need for a better
understanding of data mining: what tasks can be
solved, what techniques can be used, what are their
strengths and weaknesses.
PREREQUISITES / ADMISSION CRITERIA
A four-hour admission test with a one-hour
interview is strongly recommended before and after
the seminar to test mathematics and business skills.
Attendees must have at least a graduate degree in
science or global equivalent to the content of
IDTT01+IDTT02 if the seminar is requested with
mathematical proofs.
SUGGESTED DURATION
The whole program is on 7 days (7 hours per day)
without proofs (WhP) and on 10 days with proofs
(WP). It can be customized on needs (available in
minutes next to each module conforming to AFNOR
NF X50 756) including or not an assessment test
(open book exam).
ORGANIZATION
The sessions occur in a classroom with computers
installed and up-to-date, a beamer and a
flipchart/whiteboard or blackboard. Cellphones and
mails are forbidden during the seminar.
ATTENDEES
Maximum 50/Minimum 1
CERTIFICATION
An e-Certificate with a supplement will be awarded
to each participant who has successfully attended at
least 80% of the seminar and pass the exam.
PEDAGOGICAL METHOD
You will learn from relevant case studies, open
sessions to discuss your issues, group or individual
computer-based exercises, videos and simulations
and paper readings.
This instructor-led seminar is based on business
case exercises related to the attendees' professional
needs and ~95% is practical when asked without
mathematical proofs, otherwise the practical part is
~40%. The attendees may bring (recommended)
their professional data and issues to work on.
TRAINER(S)
1-2 BMD physicists or mathematicians
TOOLS
Tanagra, RapidMiner, R, MATLAB, Python, Power
BI and Minitab data mining softwares will be used for
the seminar. Laptops or computers with VirtualPC or
VMware player are strongly recommended.
BOOK
Elements of Applied Mathematics for Engineers
ISBN: 978-2-8399-0932-7 (7,276 pages PDF)
This complete and detailed book frees participants
from the distracting task of note taking.
AVAILABLE SEMINAR LANGUAGES
Material and discussion language can be in French,
English or German depending on the audience.
CONTACT
info@scientific-evolution.com
FUNCTIONAL LEVEL
Business Analyst, Financial Analyst, Marketing
Manager, CDO, Students, etc.
DIFFICULTY / BLOOM'S TAXONOMY LEVEL
Bachelor (Level 3/6)/Evaluations (Level 6/6)
EXAM / TEST
A four-hour test is strongly recommended before
and after the seminar to assess trainee's knowledge
and performance.
PRICE / DATES
For estimate prices refer to page 45
Dates on demand
Keywords: data mining, data scientist, clustering, exploration, correlation, statistics, seminar, course, training
33. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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Detailed seminar program =
Goal Description ~Duration [min.]
01 Introduction 30
02 Tools and implementation 10
03 About the rigor level 10
04 Importance of big data analysis 15
05 Data Mining vs Machine Learning and Supervised vs Unsupervised learning 20
06 Models selection criterias (AIC, BIC, MSE, Mallow's Cp,) and cross-
validation methods and metrics (MSE, OCV, GCV)
WP 450/WhP 120
07 Text mining basics 40
08 Zero rule (ZeroR) and one rule (OneR) and Classifiers WP 55/WhP 20
09 Classification and Regression Trees (CART) with quantitative or qualitative
variables and variable importance (+random forests)
WP 80/WhP 20
10 Dendrogram Clustering WP 35/WhP 15
11 Affinity Analysis (AA) 40
12 K-Means, K-Medoids Clustering WP 65/WhP 20
13 Mean-Shift Clustering WP 60/WhP 20
14 Gaussian Mixture Clustering WP 65/WhP 20
15 K Nearest Neighbors (K-NN) Clustering with Minkowski, Euclidean,
Manhattan (city-block), correlation, khi-2 or HEOM distance
WP 35/WhP 20
16 Iterative Dichotomiser Clustering (ID3) WP 75/WhP 10
17 Hierarchical Ascendant Clustering (HAC) WP 40/WhP 10
18 Ensemble Learning methods (Bagging vs Boosting) and Gradient boosting 90
19 Similarity analysis based on Multidimensional Scaling (MDS) WP 70/WhP 40
20 Prior Naive Bayes Classifier (Binomial and Gaussian) WP 50/WhP 15
21 Bayes Networks for prior Clustering WP 90/WhP 60
22 Linear Discriminant Analysis using "Fisher Discriminant" (posterior
likelihood method) or eigenvector projection method
WP 170/WhP 50
23 Z-score regression 30
24 Binomial and Multinomial logistic regression with confusion matrix, scoring
(propensity score), Lift/ROC Curve, F1 score
WP 135/WhP 40
25 Correlation and quality measures of binary (two-class) classifications
(Cramér'sV and phi association coefficients, Pearson's phi association
coefficient, Matthews correlation coefficient)
WP 120/WhP 30
26 Odds Ratio (OR)/Relative Risk (RR) + OR and RR confidence interval WP 110/WhP 30
27 Principal component analysis (PCA) WP 150/WhP 25
28 Principal Factor analysis without rotation (PFA) WP 60/WhP 15
29 PFC with VariMax and OrthoMax gamma rotation 15
30 (Factorial) Correspondence analysis (FCA/COA) WP 90/WhP 20
31 Multiple (Factorial) Correspondence analysis (MFCA/MCOA) WP 90/WhP 20
32 Ridge, LASSO, ElasticNet and Isotonic regularized regressions WP 420/WhP 210
33 Neural Networks (FF, LSTM, RNN, DNN) WP 840/WhP 240
34 Seminar conclusion and feedback 30
35 Open Book Exam (on demand only) 240
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Good to know: This seminar will especially be interesting for people working at high level in marketing departments or for
analysts working in the domain of social sciences. People working also as community managers could be interested to the
topics to better focus their communications and get a higher effective lift. Depending on the country and university or
engineering school this seminar outline corresponds to a Master or PhD level in scientific data analysis.
35. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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IDTT10: Quantitative Failure Modes and Effects Analysis (FMEA)
AIM AND OBJECTIVE
The aim of this seminar is to provide the attendees
the critical and powerful tools to quantify the
quality, reliability, failure indicators of designed
products and internal process, conforming to legal
obligations, standards and customers communication
respect (risk engineering).
TARGET AUDIENCE
This class is designed for those individuals who
work on various aspects of product development and
manufacturing and who already certified reliability
engineer (CRE) or not. It is assumed they come from
many different backgrounds, disciplines, education
levels and work on a variety of products and
processes areas across many departments of a
company.
PREREQUISITES / ADMISSION CRITERIA
A four-hour admission test with a one hour
interview is strongly recommended before and after
the seminar to test mathematics and business skills.
Attendees must have at least a graduate degree in
science if seminar is requested with mathematical
proofs.
SUGGESTED DURATION
The whole program is on 4 days (7 hours per day)
without proofs (WhP) and on 6 days with proofs
(WP). It can be customized on needs (available in
minutes next to each module conforming to AFNOR
NF X50 756) including or not an assessment test
(open book exam).
ORGANIZATION
The sessions occur in a classroom with computers
installed and up-to-date, a beamer and a
flipchart/whiteboard or blackboard. Cellphones and
mails are forbidden during the seminar.
ATTENDEES
Maximum 50/Minimum 1
CERTIFICATION
An e-Certificate with a supplement will be awarded
to each participant who has successfully attended at
least 80% of the seminar and pass the exam.
PEDAGOGICAL METHOD
You will learn from relevant case studies, open
sessions to discuss your issues, group or individual
computer-based exercises, videos and simulations
and paper readings.
This instructor-led seminar is based on business
case exercises related to the attendees' professional
needs and ~95% is practical when asked without
mathematical proofs, otherwise the practical part is
~65%. The attendees may bring (recommended)
their professional data and issues to work on.
TRAINER(S)
1-2 BMD physicists or mathematicians
TOOLS
MS Office Excel/Visio, Open Calc, @Risk, Maple
or any other tool like software. Laptops or
computers with VirtualPC or VMware player are
strongly recommended.
BOOK
Elements of Applied Mathematics for Engineers
ISBN: 978-2-8399-0932-7 (7,276 pages PDF)
This complete and detailed book frees participants
from the distracting task of note taking.
AVAILABLE SEMINAR LANGUAGES
Material and discussion language can be in French,
English or German depending on the audience.
CONTACT
info@scientific-evolution.com
FUNCTIONAL LEVEL
Business Analyst, Engineer, Project
Manager/Analyst, Laboratory Assistant, Students,
Quality Manager/Analyst, etc.
DIFFICULTY / BLOOM'S TAXONOMY LEVEL
Bachelor (Level 3/6)/Evaluations (Level 6/6)
EXAM / TEST
A four-hour test is strongly recommended before
and after the seminar to assess trainee's knowledge
and performance.
PRICE / DATES
For estimate prices refer to page 45
Dates on demand
Keywords: fmea, failure, reliability, pareto, kaplan-meier, mtbf, mup, mdt, fault tree, seminar, training
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Detailed seminar program=
Goal Description ~Duration [min.]
01 Introduction 30
02 Tools and implementation 10
03 About the rigor level 10
04 Worldwide quality norms and standards 15
05 Failure rate by time interval (hazard ratio) 15
06 Discrete failure and reliability density and distribution functions 30
07 Instantaneous failure and reliability density and distribution functions WP 40/WhP 20
08 Definition and calculation of FMEA indicators (TBM, MOTBF, MTBF, etc.) 60
09 Linear instantaneous failure rate WP 20/WhP 10
10 Exponential instantaneous failure rate and main properties WP 60/WhP 20
11 Weibull instantaneous failure rate distribution and main properties WP 110/WhP 50
12 FMEA indicators based on linear, exponential and Weibull distributions WP 70/WhP 40
13 ABC/XYZ and Pareto based distribution analysis WP 120/WhP 40
14 Reliability block diagram (serial, parallel, k/n, parallel+serial, bridged) WP 80/WhP 40
15 Reliability block diagram (RBD) decomposition 30
16 Maximum likelihood reliability estimation (exponential, Weibull) 20
17 Fault tree analysis (AND/OR, Voting OR gates) 30
18 Reliability block diagram based on Monte Carlo simulation 40
19 Kaplan-Meier right censored lifetime analysis (survival analysis) WP 70/WhP 20
20 Cox proportional-hazards linear regression model for uncensored and
ungrouped/grouped data and time independent covariates
WP 120/WhP 30
21 Markov chain model for predicting reliability WP 180/WhP 20
22 Exponential-Chi demonstration test Design for MTTF for accumulated test
time required
WP 70/WhP 20
23 Non-Parametric Binomial reliability demonstration test design sample size WP 30/WhP 10
24 Bayesian beta-binomial reliability demonstration test design for sample size WP 70/WhP 20
25 Weibull right censored parametric reliability density function estimation WP 70/WhP 20
26 Seminar conclusion and feedback 30
27 Open Book Exam (on demand only) 240
Good to know: This seminar focus on tools and techniques used typically by aerospace, airline, medical or nuclear engineers
who have to guarantee and analyze the reliability of their products and services at a high level because of life impacts or
social/economic nation/worldwide catastrophes in case of failure. Depending on the country and university or engineering
school this seminar outline corresponds to a Master or PhD level in reliability engineering.
37. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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IDTT11: Quantitative Project Management (QPM)
AIM AND OBJECTIVE
Many organizations fail in project management
practices because of missing quant skills. The aim of
this seminar is to provide project managers who
already know qualitative process-oriented
methodologies (PMI, IPMA, PRINCE2, ITIL, 6,
EFQM, Agile, Hermes, etc.) the advanced scientific
project management techniques (applied managerial
statistics) and tools to simulate projects planning and
costs in a in a rigorous way. In other words: do
Evidence Based Management!
TARGET AUDIENCE
This seminar is designed for professional project
managers or engineers who desire to increase their
project management skills and apply a scientific
approach to project management.
PREREQUISITES / ADMISSION CRITERIA
A four-hour admission test with a one-hour
interview is strongly recommended before and after
the seminar to test mathematics and business skills.
Attendees must have at least a graduate degree in
science or global equivalent to the content of
IDTT01+IDTT02 if the seminar is requested with
mathematical proofs.
SUGGESTED DURATION
The whole program is on 4 days (7 hours per day)
without proofs (WhP) and on 7 days with proofs
(WP). It can be customized on needs (available in
minutes next to each module conforming to AFNOR
NF X50 756) including or not an assessment test
(open book exam).
ORGANIZATION
The sessions occur in a classroom with computers
installed and up-to-date, a beamer and a
flipchart/whiteboard or blackboard. Cellphones and
mails are forbidden during the seminar.
ATTENDEES
Maximum 50/Minimum 1
CERTIFICATION
An e-Certificate with a supplement will be awarded
to each participant who has successfully attended at
least 80% of the seminar and pass the exam.
PEDAGOGICAL METHOD
You will learn from relevant case studies, open
sessions to discuss your issues, group or individual
computer-based exercises, videos and simulations
and paper readings.
This instructor-led seminar is based on business
case exercises related to the attendees' professional
needs and ~95% is practical when asked without
mathematical proofs, otherwise the practical part is
~60%. The attendees may bring (recommended)
their professional data and issues to work on.
TRAINER(S)
1-2 BMD physicists or mathematicians
TOOLS
MS Office Excel, @Risk, MS Project or any other
project management tool like software. Laptops or
computers with VirtualPC or VMware player are
strongly recommended.
BOOK
Elements of Applied Mathematics for Engineers
ISBN: 978-2-8399-0932-7 (7,276 pages PDF)
This complete and detailed book frees participants
from the distracting task of note taking.
AVAILABLE SEMINAR LANGUAGES
Material and discussion language can be in French,
English or German depending on the audience.
CONTACT
info@scientific-evolution.com
FUNCTIONAL LEVEL
Business Analyst, Financial Analyst, Engineer,
Project Manager/Analyst, Team Leader, Students,
etc.
DIFFICULTY / BLOOM'S TAXONOMY LEVEL
Bachelor (Level 3/6)/Evaluations (Level 6/6)
EXAM / TEST
A four-hour test is strongly recommended before
and after the seminar to assess trainee's knowledge
and performance.
PRICE / DATES
For estimate prices refer to page 45
Dates on demand
Keywords: rty, pnet, what-if, estimate, monte carlo, latin hypercube, tv@r, fv@r, course, training
38. Scientific Evolution Sàrl – Quant. Learning & Performance Center for High-Potentials
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Detailed seminar program=
Goal Description ~Duration [min.]
01 Introduction 30
02 Tools and implementation 10
03 About the rigor level 10
04 Complete graph theory for first step communication optimization WP 20/WhP 10
05 Business process rolled throughput yield (RTY) WP 15/WhP 10
06 Business process topologies (serial, parallel, k/n, parallel+serial, bridged) WP 80/WhP 40
07 Gantt chart as connected valuated oriented graph 10
08 PERT chart for critical path analysis (free lag, total lag, constraint path) 20
09 Deterministic time and cost scenarios (three-point estimates) 20
10 PMI Triangular and Beta probabilistic approach for simulation WP 240/WhP 90
11 Critical Chain Method for simulation 30
12 Time/Cost project management capability analysis WP 200/WhP 20
13 Use of past projects for new projects simulation (parametric estimation) WP 120/WhP 80
14 Chi-square and Kolmogorov-Smirnov adequation test WP 130/WhP 40
15 Mathematical reserve estimation 10
16 Regression modeling under statistical process control WP 360/WhP 70
17 How to communicate project time and costs estimations 60
18 Pareto/ABC and XYZ analysis with/without Lorenz charts (gain charts) and
Gini index
WP 120/WhP 40
19 Non-parametric bootstrapping inference technique 40
20 Monte Carlo and Latin hypercube simulation 100
21 Inverse Transform Sampling and Probability Integral Theorem 20
22 Sensitivity analysis and tornado charts 40
23 Value at risk models for time and costs (tV@R, fV@R) WP 80/WhP 40
24 Seminar conclusion and feedback 30
25 Open Book Exam (on demand only) 240
Good to know: If you work on very large projects or strategic business plans (more than a few hundred million dollars) you
can't estimate costs and time execution correctly with subjective non-scientific methods. This seminar will be useful if you are
interesting to apply techniques to minimize volatility and mitigate risks. The techniques presented in this seminar can be
correctly applied if and only if you have a 100% quantitative project manager position (forget this seminar if you also have
various tasks that have nothing to do directly with quantitative project management). Depending on the country and university
or engineering school this seminar outline corresponds to a Bachelor or Master level in project management.