# 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:

#### Freshman Math Courses

- Applied Calculus for Business [3 credits] [3CR]
- Applied Calculus for Life Science [3 credits] [3CR]
- Calculus I[4 credits] [4CR]
- Calculus II[4 credits] [4CR]

#### Sophomore Math Courses

- Multivariable Calculus III [4 credits] [4CR]
- Differential Equations [3 credits] [3CR]
- Linear Algebra [4 credits] [4CR]
- Probability Theory [3 credits] [3CR]

#### Honors Math Courses

- Honors Calculus I [5 credits] [5CR]
- Honors Calculus II [5 credits] [5CR]
- Honors Calculus I+II for Data Science [5 credits] [5CR]
- Honors Multivariable Calculus [5 credits] [5CR]
- Honors Differential Equations [4 credits] [4CR]
- Honors Linear Algebra [5 credits] [5CR]
- Honors Linear Algebra for Data Science [5 credits] [5CR]

#### Lower Division Math Courses

- Precalculus with Trigonometry [4 credits] [4CR]
- Introductory Statistics [4 credits] [4CR]
- Finite Mathematics [3 credits] [3CR]
- Discrete Mathematics [4 credits] [4CR]

#### Upper Division Math Courses

- Computational Abstract Algebra [4 credits] [4CR]
- Computational Differential Geometry [4 credits] [4CR]

- Preparation for Data Science Summer 2024 Online Course
- Preparation for Data Science Winter 2024 Online Course
- Preparation for Data Science Winter Course
- Preparation for Data Science Spring Course
- Preparation for Data Science Fall 2024 Online Course

## Distance Calculus - Student Reviews

*Date Posted: Jul 25, 2020*

Review by: Michael Linton

Student Email: mdl264@cornell.edu

Courses Completed: Calculus I

Review: Amazing professor, extremely helpful and graded assignments quickly. To any Cornellians out there, this is the Calculus Course to take in Summer to fulfill your reqs! I would definitely take more Calculus Classes this way in the future!

Transferred Credits to: Cornell University

*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: Feb 23, 2020*

Review by: Carl Conners

Courses Completed: Multivariable Calculus, Differential Equations, Linear Algebra

Review: After a really rough first year of calculus, I completed all of the second year calculus courses with Distance Calculus. It was like night and day the difference. My first year was so boring and monotonous. Multivariable Calculus, Differential Equations, and Linear Algebra through Distance Calculus were just so much different - so not boring at all. I thoroughly enjoyed these courses. So engaging.

Transferred Credits to: Michigan State University