# Data Science Fast for Academic Credits

Unable to "wait for the next academic semester" to complete a Data Science course? Distance Calculus @ Roger Williams University has you covered!Need to finish your Data Science course as fast as possible? Distance Calculus is ready for you.

Distance Calculus is designed to get you enrolled in Data Science immediately, and to have you finish the course as quickly as your academic skills allow.

Each Calculus course is different, some are more difficult and longer than others. But depending upon which Distance Calculus course, you could finish your course in a matter of weeks. It all depends upon your academic skills - some students are able to go lightning fast through the courses, some students need more time. Our only rule is that you go through the courses CORRECTLY and learn the material in our mastery learning format at 100% completion.

Our Distance Calculus courses are designed to be asynchronous - a fancy term for "self-paced" - but it more than just self-paced - it is all about working on your timeline, and going either as slow as you need to, or as fast as your academic skills allow.

Many students need a Data Science course completed on the fast track - because time is critical in finishing calculus courses needed for academic prerequisites and graduate school applications.

Here is a video about earning real academic credits from Distance Calculus @ Roger Williams University:

## Distance Calculus - Student Reviews

*Date Posted: Jan 8, 2021*

Review by: Cristian Mojica

Student Email: comojica@ucdavis.edu

Courses Completed: Probability Theory

Review: A fantastic course! I was able to complete it in about half a year (with a few gaps) alongside other coursework I was completing. There are no deadlines except the one-year mark after registering, so you work at your own rate and schedule. Probability Theory is required for me to apply to Master's programs in Statistics, so I was glad when I found Distance Calculus. While the course was slightly less difficult than I originally expected, there were parts that definitely slowed me down and made me think. (Also, although calculus is not everywhere in the course, it is everywhere in normal and exponential variables and beyond, so make sure to review derivatives and integrals (single and double)!) I used Mathematica for my software, and it helped speed along calculations and proved to be the perfect stage and tool for this material. I think visual learners will absolutely revel in how the material is presented in this course. (I know I did!) As there is plenty of writing and calculation to do, you have many opportunities to develop and strengthen your voice as a mathematician. The modern format of 80% electronic notebook work and 20% handwritten work is an excellent mixture for studying probability theory and grasping its core ideas. Dr. Curtis is clear in his answers to any questions and concerns you may have and is highly responsive to email and chat, and to responses you leave in your notebooks. He truly wants to help you and to see you succeed, and he is always on your side. I highly recommend Probability Theory with Distance Calculus!

*Date Posted: Dec 8, 2020*

Review by: Aileen C.

Courses Completed: Differential Equations

Review: This course may be more difficult than your average differential equations course, which better prepares you to use these skills in your degree. The self-learning does make learning some of the concepts challenging, but you get the help you need to understand these concepts.

Transferred Credits to: Johns Hopkins University

*Date Posted: Feb 25, 2020*

Review by: Jessica M.

Courses Completed: Applied Calculus

Review: I highly recommend this course. I started the Kennedy School at Harvard with a last-minute admission, but my application required the Liberal Arts calculus course, so I had to finish the course in 3 weeks. Diane was an awesome instructor! The class was surprisingly interesting. If you need to take calculus fast, this is the program to use.

Transferred Credits to: Kennedy School of Government, Harvard University