# How Much Math Do You Need for Data Science?

Answer: A lot!To be a real Data Scientist, you need to be 1/2-programmer and 1/2-mathematician/statistician. That means you need a very

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

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

While there are TONS of free (and sometimes excellent) courses online via MOOCs (Massive Open Online Courses), 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". There are no short-cuts in building up your 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.

## Academic Credits from Distance Calculus

## Data Science & Distance Calculus

## Distance Calculus - Student Reviews

*Date Posted: Feb 28, 2020*

Review by: Karen N.

Courses Completed: Calculus I, Calculus II

Review: Awesome classes! I was really weak with Calculus, so I retook Calc 1 and kept going into Calc 2. I feel like I finally understood Calculus. The finals were pretty thorough, but not nearly as stressful as the blue book exams. I highly recommend these courses!

Transferred Credits to: Various

*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: Apr 10, 2020*

Review by: Benjamin T.

Courses Completed: Calculus I

Review: This course provided an excellent chance to learn about Calculus...again. I took calculus in high school, but I learned so much more with this course! It does take a good amount of time to do all the lessons, so definitely keep on top of them, but all the exercises helped me to really understand the material. And the nice thing is you can do it on your own time at home.

Transferred Credits to: Western University of Health Sciences: College of Optometry

## Distance Calculus - Curriculum Exploration

### 7.07 - Joint Conditional

- Y7: 7.07 - Joint Conditional: