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Data Science for Business Managers by TektosData

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Organized by Tektos Data, an an advanced training school focused on Data Science, Finance and Innovation, Data Science for Business Managers is a fast paced and hands-on course open to all business managers who want a leading role in the data revolution. Six hours of course instruction is divided into three modules combining theory, case studies and practical exercises. You will understand the current trends in data science, learn the fundamental concepts related to the data science process, and learn how to implement and manage data-driven projects in your company.

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Data Science for Business Managers by TektosData

  1. 1. INNOVATE THROUGH DATA - LEARN THE CONCEPTS - LEAD THE TRANSFORMATION. Copyright TektosDATA 2016. All rights reserved. WWW.TEKTOSDATA.COM
  2. 2. Copyright TektosDATA 2016. All rights reserved. A fast paced and hands-on course open to all business managers who want a leading role in the data revolution. Six hours of course instruction is divided into three modules combining theory, case studies and practical exercises. You will understand the current trends in data science, learn the fundamental concepts related to the data science process, and learn how to implement and manage data-driven projects in your company. DATA SCIENCE FOR BUSINESS MANAGERS INNOVATE THROUGH DATA LEARN THE CONCEPTS LEAD THE TRANSFORMATION INNOVATE THROUGH DATA CURRENT TRENDS AND APPLICATIONS LEARN THE CONCEPTS FUNDAMENTALS OF DATA SCIENCE LEAD THE TRANSFORMATION CREATE VALUE FROM DATA Understand the current trends in data science to anticipate the impact of the data revolution on your company and formulate robust strategies. Understand fundamental data science concepts that will help you make sound decisions and approach business problems from a data-driven perspective. Learn how to implement and manage data- driven projects and obtain the knowledge to take a leading role in transformative projects that find value in your data.. BECOME A DATA­DRIVEN BUSINESS LEADER You will learn the necessary concepts to become a data-driven business manager and transform your organization. By the end of this course you will have the training to understand the processes related to data science, manage data-driven projects, and to bridge the gap between technical possibilities and business reality. GETIN TOUCH PALAIS BRONGNIART 28 Place de la Bourse, Paris, 75002 www.tektosdata.com tektosdata@tektos.co *Please visit our website at www.tektosdata.com for more details or feel free to contact us. All necessary forms can be found at www.tektosdata.com*
  3. 3. MODULE 1 1 HOUR 6 hours, 3 modules, combining theory, case studies and practical exercises. INNOVATE THROUGH DATA MASTER THE TOOLS LEAD THE TRANSFORMATION INNOVATE THROUGH DATA THE CURRENT DATA SCIENCE LANDSCAPE (1 HOUR) CURRENT TRENDS AND APPLICATIONS CURRICULUM We will begin with an explanation of the current and emerging trends in data science and start identifying innovation drivers and business opportunities for your company. We will give you examples and discuss success stories to illustrate the possibilities, costs, and results. Recent technical breakthroughs have enabled unprecedented improvements in data-driven business applications. This module will cover some of the highly significant success stories and applications developed by established companies, startups and research organizations.. We will introduce the state of machine learning in companies such as Google, Facebook and Amazon. Each of these companies apply machine learning to their products and provide machine learning as a product. Machine learning is not just for large publicly traded companies, therefore we will examine the efforts from startups such as Whetlab, Datarobot, Dataiku and others. We will examine the services available for you to use in your own products, such as Google Prediction API, MonkeyLearn, Sense.io, Azure ML Studio and open source tools such as Scikit-Learn, TenserFlow. Group discussion: New technology enables a myriad of data-driven applications. How do you think your business will evolve through data? Learning objective: Understand the state of the art and current trends in the data science landscape. Learn how major players and successful startups are using data to create a competitive advantage. Learn what products and services are available. Have an initial understanding of the factors enabling the transition towards data-driven business products and processes. Copyright TektosDATA 2016. All rights reserved.
  4. 4. MODULE 2 2 HOURS 6 hours, 3 modules, combining theory, case studies and practical exercises. INNOVATE THROUGH DATA LEAD THE TRANSFORMATION LEARN THE CONCEPTS FUNDAMENTAL NOTIONS AND BASIC PROBLEM TYPES (1 HOUR) FUNDAMENTALS OF THE DATA SCIENCE PROCESS CURRICULUM Data science provides a myriad of approaches to solve a variety of problems. Recognizing which business needs can be solved by a specific approach is not always easy. This module will present a framework to identify how to transform business needs into successful data science projects by considering the characteristics of your dataset. You will start mastering the fundamental concepts of data science, learn problem types, applications and how to define data science projects. Data science provides various tools and approaches to solve a variety of business problems. In this module, you will learn fundamental notions and problem types in modern data science. Through real use-cases, you will discover a variety of ways in which you can extract value from your data. Exercise: Learn how to frame business needs as data science problems. You will be given case descriptions and data and then guided in the transformation of the cases into projects in well-known machine learning applications. Copyright TektosDATA 2016. All rights reserved. INNOVATE THROUGH DATA PREDICTIVE ANALYTICS BASED ON SUPERVISED LEARNING (1 HOUR) This module starts with the benefits of a data-driven approach over traditional model-based approaches (for example, in statistics or engineering). We will then have a closer look at predictive analytics through examples. You will learn the main steps of the predictive model development process and the best practices in defining a prediction problem. You will also learn how the quality of a predictive model is evaluated and the main challenges and caveats in developing a high-quality model. Group discussion: What are the operational and business implications of the generic model? Learning objective: By the end of this module, you should be able to communicate effectively with technical data science experts and help them translate your business needs into data science applications. Learning objective: Discover the power of a data-driven approach for modeling. Understand how to transform a business situation into a data science solution..
  5. 5. MODULE 3 3 HOURS 6 hours, 3 modules, combining theory, case studies and practical exercises. INNOVATE THROUGH DATA LEAD THE TRANSFORMATION LEAD THE TRANSFORMATION BUILDING AND MANAGING A DATA SCIENCE PROJECT (1 HOUR) CREATING VALUE FROM DATA CURRICULUM This section of the course combines the previous material into a hands-on session to a data-science process.. This will highlight the key leverage points in building and managing data-driven projects from a business perspective. A traditional business problem will be transformed into a data-driven solution. You will learn how to use design methods to assist you in defining the data science project. This module will allow you to understand the managerial implications of a data science project. You will learn how to develop a strategy for collecting high-quality data, how to benchmark the quality of predictive models and how to manage the lifecycle of a data-driven model. We will provide key insights into types of innovation that can be achieved with data science and actual cases demonstrating how predictive analytics can cut costs and improve profits. Exercise: Build a data collection strategy. Identify and collect the right kind of data to boost the power of your predictive model. You will receive a description of a business dataset and be guided by the instructor in identifying relevant data which could be added to the original dataset. Learning objective: Learn key parameters to take into account when building and managing a data science project Copyright TektosDATA 2016. All rights reserved. INNOVATE THROUGH DATA TRANSFORMING YOUR BUSINESS BY DESIGNING DATA-DRIVEN PRODUCTS AND PROCESSES (2 HOURS) Mastering the fundamentals of data science will enable you to lead the transformation of your business through the design of innovative and data-driven products and processes. This module will present new methodologies from design and innovation literature to generate transformative data projects. Through a hands-on practice session, you will be guided in the application of what you have learned in this course to a realistic business transformation process. Workshop with breakout groups: each group will receive a problem about a traditional business practice. The instructor will guide each group in the use of design methods to consider potential evolutions of the problem and generate a data science projects for the transition. Learning objective: Learn how to use design methods to build value-driven data projects. Learn how to go beyond technical considerations and how to practice value-focused thinking about data.
  6. 6. LEAD THE TRANSFORMATION AKIN KAZAKCI MINES PARISTECH / PSL RESEARCH UNIVERSITY INSTRUCTORS Akin focuses his research on Computer Science and Innovation Management, more specifically on computational creativity and analytics in design. He also works with companies from various industries, ranging from start-ups and humanitarian organisations to worldwide industrial groups. Associate Professor at Mines ParisTech specialized in Design Theory & Modeling. Copyright TektosDATA 2016. All rights reserved. BALÁZS KÉGL CNRS / SACLAY CDS / POLYTECHNIQUE Science and Adjunct Professor at École Poytechnique, Balázs has published more than a hundred papers on unsupervised and supervised learning, large-scale Bayesian inference and optimization, and on various applications. Senior Research Scientist at CNRS, Head Data Scientist of the Paris-Saclay Center of Data
  7. 7. A Tektos's branch, Tektos Data is an an advanced training school focused on Data Science, Finance and Innovation. Our goal is to make state-of-the-art topics in innovation and data science accessible to leaders and managers from various fields. We have partnerships with leading researchers and industry experts to offer practical beginner and advanced courses in data science, finance and innovation. Our courses can also be organized in your company and customized to your needs Tektos is a startup accelerator and business lab focused on high-tech B2B and B2B2C projects in FinTech, High- Performance Computing, Data Science and Education. We apply the latest innovation techniques to identify, launch and grow disruptive technology companies and train exceptional entrepreneurs.. To learn more about TektosData and Tektos, please visit our websites: www.tektos.co ABOUT TEKTOS DATA AND TEKTOS www.tektosdata.com Copyright TektosDATA 2016. All rights reserved. WE ALSO OFFER COURSES ON: Machine Learning Quantitative Finance Innovation Visit tektosdata.com for more information

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