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.

13,244 learners enrolled

  • Skill level

    Beginner

  • Time to complete

    5 weeks

  • Certificate of completion

    Yes

  • Prerequisites

    None

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

Syllabus

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

    Probability

    Learn the fundamentals of probability by investigating random events.

  • 3

    Descriptive Statistics

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

  • 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

Projects in this skill path

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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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.
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How it works

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    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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