Math is one of the key building blocks of data science. While you cannot do a lot of data science with just calculus and linear algebra, both topics are essential for more advanced topics in data science such as machine learning, algorithms, and advanced statistics. Here are some freely available resources for learning both topics.

### Calculus

- Khan Academy Calculus
- Coursera – Calculus (Single Variable) – multi-variable calculus is sure to be coming soon

### Matrix Operations/Linear Algebra

### Other Math Options

The following 2 courses from Coursera maybe good for a person learning to think mathematically.

EdJuly 25, 2012 at 4:10 amIn addition, it looks like UW’s undergraduate course Introduction to Data Science will be offered on Coursera next year. It looks like it was just added in the past few days, as I didn’t notice it when they announced all the new course offerings last week.

Ryan SwanstromJuly 25, 2012 at 8:13 amI had not seen that one yet. Thanks for letting me know. That course will fit in well with one of my posts later this week. Thanks Ed.

Ryan

Learn Data Science | Data Science 101July 27, 2012 at 8:03 am[…] you have the necessary background in math, statistics, and computer science; then it is a good time to learn some data science specific […]