# 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

BeginnerTime to complete

5 weeksCertificate of completion

YesPrerequisites

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.

## 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.## Projects in this skill path

- Project
### Detecting Product Defects with Probability

Determine the number of defective products made at a factory on a given day. Apply concepts from the Poisson distribution, including random variables, the probability mass function, the cumulative distribution function, and expected values. - Project
### Sampling Distributions Dance Party!

Investigate sampling distributions of Spotify data! - Project
### Central Tendency for Housing Data

In this project, you will use your knowledge of mean, median and mode to make conclusions about three boroughs in New York City: Manhattan, New York City, and Queens.

## 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.ChrisCodecademy 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.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA

## Our learners work at

## 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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### 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.### Get step-by-step guidance

We guide you through exactly where to start and what to learn next to build a new skill.### 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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