# 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: 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: Jan 13, 2020*

Review by: Daniel Marasco

Courses Completed: Multivariable Calculus

Review: This course was more affordable than many, and the flexible format was terrific for me, as I am inclined to work very diligently on tasks on my own. It could be dangerous for a person who requires external discipline more, but it works well for self-starters, allowing you to prioritize when you have other pressing work. I was a full time teacher adding a math certification, and this course allowed me to master the math while working around my teaching schedule and fitting work into moments here and there when I had time. I was able to transfer the credits to Montana State University, Bozeman for my teaching internship program without a hitch. The instructors were all very helpful and patient, even when I failed to see a ridiculously simple solution on one problem after 20 emails back and forth. Overall, I was more pleased with my experience in this class than I was with any of my other 9 courses.

Transferred Credits to: Montana State University, Bozeman

*Date Posted: Feb 25, 2020*

Review by: Jessica M.

Courses Completed: Applied Calculus

Review: I highly recommend this course. I started the Kennedy School at Harvard with a last-minute admission, but my application required the Liberal Arts calculus course, so I had to finish the course in 3 weeks. Diane was an awesome instructor! The class was surprisingly interesting. If you need to take calculus fast, this is the program to use.

Transferred Credits to: Kennedy School of Government, Harvard University

## Distance Calculus - Curriculum Exploration

### 7.06 - Random Variables

- Y6: 7.06 - Random Variables: