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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10,883 learners enrolled
  • Skill level

    Intermediate
  • Time to complete

    Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary
    26 hours
  • Certificate of completion

    Yes
  • Prerequisites

    1 course
    We suggest you complete the following courses before you get started with Master Statistics with Python:
    • Getting Started with Python for Data Science

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

Syllabus

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

    Probability

    Learn the fundamentals of probability by investigating random events.

The platform

Hands-on learning

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Reviews from learners

  • The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.
    Chris
    Codecademy Learner @ USA
  • I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.
    Rodrigo
    Codecademy Learner @ UK
  • Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.
    John-Andrew
    Codecademy Learner @ USA

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How it works

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    We guide you through exactly where to start and what to learn next to build a new skill.
  3. Get there quickly

    We’ve hand-picked the content in each Skill Path to fast-track your journey and help you gain a new skill in just a few months.

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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.