Table of Contents

  1. The Data Science Landscape
  2. R Basics
  3. Exploring Data
  4. Wrangling Data
  5. Working with Dates
  6. Manipulating Strings
  7.  Visualizing Data
  8. Feature Engineering
  9. Statistics and Probability
  10. Introducing ML
  11. Training Machine Learning Models 
  12. Building a Career in Data Science