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Level 2 · Intermediate Applied Data Science

Goal: build on the Level 1 foundation with the intermediate-level data science skills covered in this level's modules.

Modules

  1. Advanced pandas (groupby, merge, pivot)
  2. Statistical Testing Deep Dive
  3. Advanced Visualization (plotly, interactive charts)
  4. Feature Engineering Basics
  5. Intro to Machine Learning for Data Science
  6. Time Series Analysis Basics
  7. A/B Testing Fundamentals
  8. SQL for Data Scientists
  9. Jupyter Notebook Best Practices
  10. Project — A/B Test Analysis

Content status

Level 2 module content is being written — every page below has its scope defined and will be filled in next. Level 1 is complete and is the prerequisite for everything here.