# Data Science - Math Preparation - Distance Calculus Information from Distance Calculus

Preparation for Data Science can best be described as a "a cross between a mathematician/statistician and a programmer ".This topic has many names, all being equivalent:

- Applied Statistics
- Data Science
- Big Data
- Programmer+Mathematician

Distance Calculus @ Roger Williams University can help prepare you for a study of Data Science - either for a degree in Data Science or perhaps a certificate - by helping you complete the core mathematics courses necessary for starting a Data Science degree or certificate.

If you wish to become a Data Scientist, you will need to develop both strong programming skills, and have a very strong mathematics background.

There are no short-cuts for Data Science. You just can't learn Python and then pretend you are a Data Scientist because you watched a few videos on running data sets through Python! You NEED a very strong mathematics background that includes ALL of the following courses:

- Math 213 - Calculus I - 4 credits
- Math 214 - Calculus II - 4 credits
- Math 351 - Multivariable Calculus - 4 credits
- Math 317 - Differential Equations - 3 credits
- Math 331 - Linear Algebra - 3 credits
- Math 315 - Probability Theory - 3 credits

## Distance Calculus - Student Reviews

*Date Posted: Jan 12, 2020*

Review by: Anonymous

Courses Completed: Calculus I

Review: This course is amazing! I took it as a requirement for admission to an MBA program, and couldn't have been happier with the quality and rigor of the course. I previously took calculus two times (at a public high school and then a large public university commonly cited as a "public ivy"), this course was by far the best and *finally* made the concepts click. Previously I had no idea what was going on because terrible PhD students were teaching the course and saying stuff like "a derivative is the slope of a tangent line" - ??? but what does that mean ???, but the instructors in the Shorter University course explain everything in ways where it FINALLY made sense (e.g., "imagine a roller coaster hitting the top of a hill, there's a moment where it shifts momentum and you're not accelerating or decelerating, that's what a 0 rate of change is - that's when the derivative would be zero"). They explain everything in multiple ways and relate it to other concepts. It all made perfect sense when I finally had a good instructor. Really recommend this class

Transferred Credits to: The Wharton School, UPenn

*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: Sep 20, 2020*

Review by: Genevieve P.

Courses Completed: Applied Calculus

Review: I found out from my grad school after being accepted that I needed a Calculus course before starting their MBA program. I had less than 6 weeks to do it (and as a non-STEM undergrad no less). The video lectures were informative, the pre-calc refresher was great to get re-conditioned, and the asynchronous format worked so well as I did this at night/weekends after work. I completed it in 4 weeks. Professor Curtis was extremely responsive, graded assignments quickly, and a supportive guide providing constructive feedback to me to excel at the assignments. I highly recommend this course for those who need a pre-req in a hurry or like learning on their own schedule. Thanks, Distance Calculus and Professor Curtis!

Transferred Credits to: Massachusetts Institute of Technology (MIT)