Free Session
📊 Statistics & Math for ML

Descriptive Statistics for Data Science

Understand data through numbers. Master mean, median, variance, distributions, and statistical visualization - the mathematical foundation every ML engineer needs.

Session 13 recording

Sign in with Google to watch the full recording

What You'll Learn

  • How to summarize any dataset with key statistical measures
  • Variance, standard deviation, and why they matter for ML
  • Common data distributions and how to identify them
  • Building informative visualizations with matplotlib

Topics Covered

  • →Central tendency measures
  • →Variance & standard deviation
  • →Data distributions
  • →Visualization with matplotlib

Practice Exercises

Login to access

Hands-on exercises to reinforce what you learned. Create a free account to access the full exercise editor.

This session is part of

📊 Statistics & Math for ML

Unlock all sessions, notebooks, and exercises in this module.