# 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

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## Distance Calculus - Student Reviews

*Date Posted: Apr 13, 2020*

Review by: Jorgen M.

Courses Completed: Calculus I

Review: I really enjoyed this course, much more than I thought I would. I needed to finish this course very fast before starting my graduate degree program @ Kellogg. I was able to finish in 3 weeks. I liked the video lectures and the homework process. I highly recommend this course.

Transferred Credits to: Kellogg School of Business, Northwestern Univ

*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: 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!