Skill Path

Fundamental Math for Data Science

Build the mathematical skills you need to work in data science.

Includes Probability, Descriptive Statistics, Linear Regression, Matrix Algebra, Calculus, Hypothesis Testing, and more.

To start this Skill Path, upgrade your plan.
15,162 learners enrolled
  • Skill level

  • Time to complete

    5 weeks
  • Certificate of completion

  • Prerequisites


About this skill path

Data scientists use math as well as coding to create and understand analytics. Whether you want to understand the language of analytics, produce your own analyses, or even build the skills to do machine learning, this Skill Path targets the fundamental math you will need. Learn probability, statistics, linear algebra, and calculus as they are applied to real-world data analysis!

Skills you'll gain

  • Speak the language of data science
  • Perform hypothesis tests
  • Use code to do mathematics


8 units • 16 lessons • 8 projects • 9 quizzes
  • 1

    Welcome to Fundamental Math for Data Science

    Overview of material in the Fundamental Math for Data Science Skill Path

  • 2

    Descriptive Statistics

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

  • 3


    Learn the fundamentals of probability by investigating random events.

  • 4

    Inferential Statistics

    Learn about hypothesis testing and implement binomial and one-sample t-tests in Python.

  • 5

    Linear Algebra

    Learn about linear algebra and how to perform operations with matrices and vectors.

  • 6

    Differential Calculus

    Learn about calculus and how to analyze functions using limits and derivatives.

  • 7

    Final Problem Set

    Assess your knowledge with a final problem set.

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

Reviews from learners

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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

Skill paths help you level-up

  1. Get a specialized skill

    Want to level up at work? Gain a practical, real-world skill that you can use right away to stand out at your job.
  2. Get step-by-step guidance

    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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