# 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: Jun 6, 2020*

Review by: Douglas Z.

Courses Completed: Multivariable Calculus, Differential Equations, Linear Algebra, Probability Theory

Review: I loved these courses. So in depth and comprehensive. The mix of software and math curriculum was tremendously helpful to my future studies and career in engineering. I highly recommend these courses if you are bored of textbook courses.

Transferred Credits to: University of Massachusetts, Amherst

*Date Posted: Apr 6, 2020*

Review by: Paul Simmons

Courses Completed: Multivariable Calculus, Differential Equations

Review: I took Multivariable and Diff Eq during the summer. The DiffEq course was awesome - very useful for my physics and engineering course. I was unsure about Mathematica at first, but I got the hang of it quickly. Thank you Distance Calculus!

Transferred Credits to: University of Oregon

*Date Posted: Mar 17, 2020*

Review by: Rebecca M.

Courses Completed: Calculus II, Multivariable Calculus

Review: Fantastic courses! I barely made it through Cal 1, and halfway through Cal 2 I found this program. I took Cal 2 and then Multivariable and I just loved it! SOOOOOOO much better than a classroom+textbook class. I highly recommend!

Transferred Credits to: Tulane University