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.
17,663 learners enrolled
  • Skill level

  • Time to complete

    Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary
    11 hours
  • 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.

  • Certificate of completion available with Plus or Pro

    Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.

The platform

Hands-on learning

Animated GIF of an AI provided error explanation within Codecademy's learning environment
An AI-generated hint within the instructions of a Codecademy project
Animated GIF of Codecademy's Job Readiness Checker tool generating a compatibility report for a senior software engineer role
Animated GIF of building a phone screen interview using Codecademy's Interview Simulator
A fill-in-the-blank JavaScript question in a Codecademy assessment

Earn a certificate of completion

Show your network you've done the work by earning a certificate of completion for each course or path you finish.
  • Show proofReceive a certificate that demonstrates you've completed a course or path.
  • Build a collectionThe more courses and paths you complete, the more certificates you collect.
  • Share with your networkEasily add certificates of completion to your LinkedIn profile to share your accomplishments.

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.
    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.
    Codecademy Learner @ UK
  • Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.
    Codecademy Learner @ USA

Our learners work at

  • Google Logo
  • Meta Logo
  • Apple Logo
  • EA Logo
  • Amazon Logo
  • IBM Logo
  • Microsoft Logo
  • Reddit Logo
  • Spotify Logo
  • Uber Logo
  • YouTube Logo
  • Instagram Logo
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.

Ready to learn a new skill?

Get started on Fundamental Math for Data Science with a free Codecademy account.

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.