Regression to the Mean

Python for Data Analytics

Block 1: Python basics

  1. Basics
  2. Variables and types
  3. Operations
  4. String operations
  5. Data Structures
  6. Conditionals
  7. Loops
  8. Comprehensions
  9. Functions
  10. Error catching

Block 2: Numpy, Pandas, and Plotly

  1. Intro to Numpy
  2. Intro to Pandas
  3. Data manipulation with Pandas
  4. Merge, join and concat with Pandas
  5. Handling missing data with Pandas
  6. Intro to Plotly

Block 4: Advanced Pandas, sklearn, and pipelines

  1. Date and time operations with Pandas
  2. Vectorized string operations and Regex with Pandas
  3. Intro to sklearn API
  4. Scaling and normalization with sklearn
  5. Feature engineering with sklearn
  6. Cross-validation with sklearn
  7. Hyperparameter tuning with sklearn
  8. Column transformers and pipelines with sklearn