1. Introduction to Statistics
  2. Python Basics for Statistics
  3. Introduction to NumPy and Pandas for Data Manipulation
  4. Data Visualization with Matplotlib and Seaborn
  5. Descriptive Statistics
  6. Probability Theory
  7. Statistical Inference
  8. Regression Analysis
  9. Multivariate Analysis
  10. Time Series Analysis
  11. Machine Learning for Statistics
  12. Practical Statistical Analysis in Machine Learning