# Data Science Mathematics Background

Data Science is a combination of disciplines: 1/2 programmer, 1/2 mathematician/statistician.To start a study of Data Science, you need to make sure you math background is solid in the following courses:

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

There are no short-cuts in building up your creds as a mathematician for data science. There are TONS of free courses online (some of which are really excellent), but if you plan to formalize your student of Data Science with a degree or certificate, 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.

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 15, 2021*

Review by: Rachel H.

Courses Completed: Probability Theory

Review: Dr. Curtis gave helpful and timely feedback, and made the teaching videos very engaging! The course model and associated software was easy to acclimate to.

Transferred Credits to: Cedarville University

*Date Posted: May 21, 2020*

Review by: Chester F.

Courses Completed: Calculus I, Calculus II

Review: I did not enjoy Calculus I at my school. I retook Calculus I, and then Calculus II, over the summer via Distance Calculus and it was awesome. I started my sophomore year back on track and ready for my physics classes. I struggled with the MathLive software but I guess it was alright.

Transferred Credits to: University of North Carolina

*Date Posted: Jan 18, 2021*

Review by: Coury Gaffney

Student Email: courygaffney@gmail.com

Courses Completed: Linear Algebra

Review: The program used gives an amazing insight into everything that's happening, that you wouldn't get in a traditional course. All of the lessons are clear and clean, and the professor is very helpful along the way. I learned a lot and am happy with taking this course

Transferred Credits to: Virginia Tech