# Calculus for Data Science?

Question: How much Calculus-level 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 calculus, 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 19, 2020*

Review by: Dan P.

Courses Completed: Calculus I, Calculus II

Review: I found the courses to be informative, enjoyable, and most importantly, effective in helping me learn the concepts of calculus. My math skills were always very weak, and I had a great deal of difficulty passing my undergrad math courses. The pace of a traditional classroom setting was just too quick for the concepts to really sink in. With Distance Calculus, I had courses that were taught with the full rigor of an on-campus class, but where I could take my time and really learn the material...all while having access to top-tier instructional help for real math professors and assistants. DC gave me the tools and the confidence I needed, so after successfully passing my DC courses, I moved on and completed a master's degree in CS.

*Date Posted: Dec 9, 2019*

Review by: Louisa A.

Courses Completed: Calculus I

Review: My microeconomics class required college-level calculus as a prerequisite, and I didn't want to wait until next year to take the class. So, I took DC's Calculus I class over the summer, so I could register for econ when I got back to school this fall. I actually think I got more help taking the class online than I would have in the huge lecture classes here. Prof. Curtis was really clear in explaining concepts and talking me through the topics that I was having trouble with. It took me about 10 weeks to finish the class, which didn't seem too long and didn't feel rushed. My friends who are in calculus now, trying to finish the prereq, are pretty jealous!

*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

## Distance Calculus - Curriculum Exploration

### Getting Started

- Y0: Getting Started: