# Math & Statistics for Data Science (Study Guides)

### You don’t want to waste your time. If you’re going to put aside the time needed to learn maths & statistics concepts for data science, you want to be clear about what to learn and where to start.

There are countless learning resources, but to become highly equipped for data science job roles, you need a study guide to learn what you need to learn before enrolling for an online course or buying a new book.

We’ve done some heavy lifting for you, and looked through data science resources, including community discussion from the past several years, to draw conclusions that will help *you* plan for data science education.

So in this newsletter, we are going to provide a few resources that will help you build the Math & Statistics skills you need for data science including programming.

**Beginners Study Guide:**

Essential Statistics for Data Science ( Basic Concepts)

Probability and Statistics for Data Science (Non-programmers)

Computational Statistics with Python

Learn Statistics with R for Data Science

**Math Fundamentals**

Linear Algebra Courses for Data Science - Beginners

Basic Math for Data Science ( Beginners Guide)

Mathematics for Machine Learning - Basic Guide with resources

Also, did you know that we have created a Data Science Stack on kanger.dev? You can check out quality resources, articles, courses or books without membership.

Happy learning!

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