Data

I teach people to work with data. I believe that everyone – everyone – can use data to help them do the things that are important to them and to do those things better. And so I teach people the principles and the practices that will help them get useful insights and actionable direction from their data. I teach online via my own company, datalab.cc, through LinkedIn Learning, and on YouTube. I teach in person as a professor at Utah Valley University and as a mentor through DataCommunity.cc and DataCharrette.org. And, finally, I teach through the books that I have written, the statistics textbook Data Sense and the free introduction to R, R Succinctly.

datalab.cc link
UVU Professional Page for Barton Poulson
Link to Barton Poulson's author profile page on LinkedIn Learning
Link to datalab.cc's YouTube channel
Link to Barton Poulson's YouTube channel
Link to DataCommunity.cc
Link to the book Data Sense
Link to the book R Succinctly

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. 

datalab.cc tools courses

datalab.cc concept courses

LinkedIn Learning Courses

  • Data Science Foundations: Fundamentals
  • Data Science Foundations: Data Mining
  • Big Data Foundations: Techniques and Concepts
  • Data Fluency: Exploring and Describing Data
  • Introduction to jamovi
  • AI Accountability
  • Learning R
  • R Statistics Essential Training
  • 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