Harry Karanikas completed the Statistics Foundations: 2 course on February 28, 2020, earning 3 continuing professional education credits. The certificate details the course name, completion date, number of credits earned, and that it was a self-study course. It also provides information about LinkedIn's registration as a CPE sponsor with the National Association of State Boards of Accountancy.
Learning objectives :
Define data analysis and data analyst.
List roles in data analysis.
Explain data fields and types.
Define syntax.
Explain how to interpret existing data.
Describe data best practices.
Repurpose data.
Create a data dictionary.
Compare and contrast linking versus embedding charts and data.
Build pivot charts with slicers.
Learning objectives :
Define data analysis and data analyst.
List roles in data analysis.
Explain data fields and types.
Define syntax.
Explain how to interpret existing data.
Describe data best practices.
Repurpose data.
Create a data dictionary.
Compare and contrast linking versus embedding charts and data.
Build pivot charts with slicers.
US NASBA approved exam at LinkedIn Learning. Passed with 81% score.Learnt about communications pillars like people, message, context and listening skills that enable better management of audience, workers as required by a manager.
Certificate of completion supply chain foundationsVaibhav Kakkar
Understood the basic concepts of supply chain management, planning and strategizing the process. Improved on how one should plan and analyse the situations and ways of developing them.
A basic course in Data Science. Key features include evaluating different sources of data, including metrics and APIs,exploring data through graphs and statistics,discovering how data scientists use programming languages such as R, Python, and SQL,assessing the role of mathematics, such as algebra, in data science,applied statistics, such as confidence intervals,machine learning, such as artificial neural networks, in data science and define the components of effective data visualization.
Certificate of completion creating your IT strategyMr Risman
Instructional Delivery Method: QAS Self Study
In accordance with the standards of the National Registry of CPE Sponsors, CPE credits have been granted based on a 50-minute hour.
LinkedIn is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing
professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the
acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National
Registry of CPE Sponsors through its web site: www.nasbaregistry.org
In this course you can learn how to showcase marketing data in engaging ways, how to create compelling data visualizations, providing tips that can help you craft clear, concise, and action-oriented marketing presentations.
This Course outlines the purchasing process and provides guidance for evaluating, selecting, and managing suppliers. It also addresses the roles of cost management and strategic sourcing, and the legal and ethical considerations involved. Plus, learn about special topics such as indirect spend on services (including transportation and utilities), resourcing, and supply chain performance management.
US NASBA approved exam at LinkedIn Learning. Passed with 81% score.Learnt about communications pillars like people, message, context and listening skills that enable better management of audience, workers as required by a manager.
Certificate of completion supply chain foundationsVaibhav Kakkar
Understood the basic concepts of supply chain management, planning and strategizing the process. Improved on how one should plan and analyse the situations and ways of developing them.
A basic course in Data Science. Key features include evaluating different sources of data, including metrics and APIs,exploring data through graphs and statistics,discovering how data scientists use programming languages such as R, Python, and SQL,assessing the role of mathematics, such as algebra, in data science,applied statistics, such as confidence intervals,machine learning, such as artificial neural networks, in data science and define the components of effective data visualization.
Certificate of completion creating your IT strategyMr Risman
Instructional Delivery Method: QAS Self Study
In accordance with the standards of the National Registry of CPE Sponsors, CPE credits have been granted based on a 50-minute hour.
LinkedIn is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing
professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the
acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National
Registry of CPE Sponsors through its web site: www.nasbaregistry.org
In this course you can learn how to showcase marketing data in engaging ways, how to create compelling data visualizations, providing tips that can help you craft clear, concise, and action-oriented marketing presentations.
This Course outlines the purchasing process and provides guidance for evaluating, selecting, and managing suppliers. It also addresses the roles of cost management and strategic sourcing, and the legal and ethical considerations involved. Plus, learn about special topics such as indirect spend on services (including transportation and utilities), resourcing, and supply chain performance management.
Certificate of completion implementing supply chain managementVaibhav Kakkar
Understood the concepts of supply chain management, planning and strategizing the process and its implementation and how it benefits in the process of flow of materials.
Project requirements are how project managers determine what the business needs and align the project’s goals. Requirements also form the basis for defining a project’s scope, assigning resources, and performing acceptance testing.
Various risk models like statistical risk models, risk models based on style and industry factors, and machine learning risk models and how they compare in practical applications empirically, etc.
Introduction to FinTech from the University of Hong-Kong
I learned a lot of new things such as TechFin, RegTech, Startups, ICOs, Distributor Ledger, Payments and the Future of Data-Driven Finance
FinTech is actually a very wide term they naturally or intuitively associate it with payment, which obviously is too narrow
But in reality, is much more than that, Alternative Finance, for example, is the ABCD of FinTech, areas such as Artificial Intelligence, Blockchain, Cloud Computing, and Data. So I believe ‘’obviously ‘’going to be a big, big opportunity in the Financial sector.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
【社内勉強会資料_Octo: An Open-Source Generalist Robot Policy】
Statistics Foundations
1. Certificate of Completion
Congratulations, Harry Karanikas
Statistics Foundations: 2
Course completed on Feb 28, 2020
By continuing to learn, you have expanded your perspective, sharpened your
skills, and made yourself even more in demand.
VP, Learning Content at LinkedIn
LinkedIn Learning
1000 W Maude Ave
Sunnyvale, CA 94085
Field of Study: Statistics
Program: National Association of State Boards of Accountancy (NASBA) | Registry ID: #140940
Certificate No: AQkLnxGqXGKclNX9hUSE9iRFFkTZ
Continuing Professional Education Credit (CPE): 3.00
Instructional Delivery Method: QAS Self Study
In accordance with the standards of the National Registry of CPE Sponsors, CPE credits have been granted based on a 50-minute hour.
LinkedIn is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing
professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the
acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National
Registry of CPE Sponsors through its web site: www.nasbaregistry.org