Ryan Swanstrom

Learn Math for Data Science

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.

Originally Posted

July 24, 2012

Data Science 101, education

Ryan Swanstrom

Last Modified:

November 11, 2020

Tags:

calculus, data science, linear algebra, math, matrices, matrix

Comments

3 responses to “Learn Math for Data Science”

Ed

July 25, 2012

In 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.

Reply
1. Ryan Swanstrom
  
  July 25, 2012
  
  I 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
  
  Reply
Learn Data Science | Data Science 101

July 27, 2012

[…] you have the necessary background in math, statistics, and computer science; then it is a good time to learn some data science specific […]

Reply