Skill Path

Master Statistics with Python

Learn the statistics behind data science, from summary statistics to regression models.

Includes Statistics, Experimental Design, Python, pandas, NumPy, SciPy, matplotlib, and more.

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9,508 learners enrolled
  • Skill level

  • Time to complete

    4 weeks
  • Certificate of completion

  • Prerequisites

    1 course

About this skill path

Data scientists use statistics to produce analyses, recommendations, and even machine learning models. In this Skill Path, you will use Python to summarize datasets, investigate correlations, run hypothesis tests, and build regression models.

Skills you'll gain

  • Summarize and visualize data
  • Run A/B tests
  • Build linear regression models


9 units • 31 lessons • 21 projects • 19 quizzes
  • 1

    Variable Types

    Learn about variable types and how to store them in Python.

  • 2

    Summary Statistics for Quantitative Data

    Learn how to summarize quantitative data in Python using summary statistics.

  • 3

    Visualizing a Distribution of Quantitative Data

    Learn how to visualize and describe a distribution of quantitative data using histograms, box plots, and quantiles/quartiles.

  • 4

    Summary Statistics for Categorical Data

    Learn how to summarize categorical variables in Python using numerical summary statistics.

  • 5

    Visualizing Categorical Data

    Learn how to visualize and describe categorical data using bar charts and pie charts.

  • 6

    Associations between Variables

    Learn how to investigate whether there is an association between two variables.

  • 7


    Learn the fundamentals of probability by investigating random events.

The platform

Hands-on learning

Don't just watch or read about someone else coding — write your own code live in our online, interactive platform. You'll even get AI-driven recommendations on what you need to review to help keep you on track.
Animated demonstration of running code in Codecademy's learning environment

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What's included in skill paths

  • Practice Projects

    Guided projects that help you solidify the skills and concepts you're learning.
  • Assessments

    Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.
  • Certificate of Completion

    Earn a document to prove you've completed a course or path that you can share with your network.
How it works

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