# Essential Math for Data Science?

Question: How much math do you need to study Data Science?Answer: A lot!

To even study Data Science, you need start off being a mathematician/statistician, which means you need a very

**solid**foundation in university mathematics, starting with the following undergraduate, lower-division courses:

- Calculus I
- Calculus II
- Multivariable Calculus
- Differential Equations
- Linear Algebra
- Probability Theory (Calculus-Based Statistics)

You may have searched around the internet looking for math/calculus-level courses to build up your math skills in preparation for Data Science. There certainly are excellent (free!) courses online via MOOCs (Massive Open Online Courses). However, you will want to have all of the above courses on real, transferable Academic transcripts to prove you have completed these courses, with letter grades, not just say "I took these courses from a MOOC". You need real credentials as a mathematician for data science.

MOOCs (Massive Open Online Courses) are awesome, but they do not provide real academic course credit for their courses. If you plan to go for a B.A. or M.A. with a Data Science concentration, you will not be able to say "Oh, I took all my calculus courses from a MOOC" - you need these courses in your academic portfolio. We invite you to explore our Distance Calculus courses in more detail via the links above, or perhaps the movies below.

## Data Science & Distance Calculus

## Academic Credits from Distance Calculus

## Distance Calculus - Student Reviews

*Date Posted: Sep 6, 2020*

Review by: Mark L.

Courses Completed: Applied Calculus

Review: Great course. Because of this class I was able to meet the entry requirements for my EMBA program on a tight time window in addition to sharpening math skills from classes taken over 15 years ago!

Transferred Credits to: MIT

*Date Posted: Jan 12, 2020*

Review by: Brian Finley

Courses Completed: Calculus II

Review: I took Calculus II through Distance Calculus and can't recommend it enough. Being able to take the course at my own pace while I was working full time was tremendously helpful, especially since I hadn't taken a math course for 5 years prior. The instruction was excellent and the software they used to teach the course was intuitive and facilitated the learning process very well. This calc II class enabled me to take multivariable calc, linear algebra, and real analysis at Harvard University's extension school, which ultimately qualified me for the economics PhD program that I will graduate from next year. 8 years on, I'm still grateful to Professor Curtis and Distance Calculus.

*Date Posted: Aug 16, 2020*

Review by: Jennifer S.

Courses Completed: Calculus I

Review: The course was intense and required a lot of hard work. Professors ready available to assist when needed. Professors presented and explained materials/course work in detail and provided explanations and resources.

Transferred Credits to: University of New Haven, West Haven, CT

## Distance Calculus - Curriculum Exploration

### 7.06 - Random Variables

- Y6: 7.06 - Random Variables: