# 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.

Skill level

BeginnerTime to complete

Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary11 hoursCertificate 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
### Descriptive Statistics

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

- 3
### Probability

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.

## Projects in this skill path

- practice Project
### Heart Disease Research Part I

Investigate risk factors for heart disease using descriptive statistics and hypothesis tests. - practice Project
### Image Transformations with NumPy

Use NumPy and linear algebra knowledge to do fun image transformations! - practice Project
### Limit Definition of the Derivative Exploration

Explore the limit definition of the derivative using Python.

## 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.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

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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.