LinkedIn Learning Courses

You need familiarity with concepts and tools to work well with data. Basic tools include programming languages, specialized statistical and visualization applications, and everyday tools like Microsoft Office and Google Drive. I have taught people to use these tools through online channels, in-person settings, and in print media. The goal is never to master all of the tools or every aspect of a tool but, rather, to be sufficiently familiar with an adequate range of tools that you can easily and efficiently accomplish the tasks before you. 

  • Data Science Foundations: Fundamentals

  • Data Science Foundations: Data Mining

  • Big Data Foundations: Techniques and Concepts

  • Data Fluency: Exploring and Describing Data

  • AI Accountability Essential Training

  • Learning R

  • R Statistics Essential Training

  • Introduction to jamovi

  • SPSS Statistics Essential Training

  • Julia for Data Scientists First Look

  • Processing: Interactive Data Visualization

  • Creating Projects for Interactive Data Visualization with Processing

  • The Data Science of Sports Management

  • The Data Science of Economics, Banking, and Finance

  • The Data Science of Retail, Sales, and Commerce

  • The Data Science of Healthcare, Medicine, and Public Health

  • The Data Science of Educational Management and Policy

  • The Data Science of Government and Political Science

  • The Data Science of Media and Entertainment

  • The Data Science of Nonprofit Service Organizations