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:



Data Science can best be described as a "a cross between a programmer and a mathematician/statistician".

This topic has many names, all being equivalent:
  • Data Science
  • Applied Statistics
  • Programmer+Mathematician
  • Big Data

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

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.

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







Distance Calculus - Student Reviews

Louisa A.★★★★★
Posted: Dec 9, 2019
Courses Completed: Calculus I
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!
Henry R.★★★★★
Posted: Jul 12, 2021
Courses Completed: Multivariable Calculus
Fantastic and unique course, particularly good for visual/spatial thinkers. The course forces you to develop a real conceptual understanding of the math concepts, as opposed to just teaching math formulas like other courses tend to do.

There is a steep learning curve early on to get used to the software and the kind of course this is.

Ultimately, I feel like what I learned will allow me to actually use the math and build upon it in the future. If you care about learning, rather than just passing a requirement, this is a great course for you.
Transferred Credits To: Harvard University
Emmy★★★★★
Posted: May 26, 2025
Courses Completed: Applied Calculus
Distance Calculus was the perfect answer to getting ahead in math over the summer of my junior year in HS. I was able to complete the entire course over the summer. The teacher was responsive and the course was understandable. Highly recommend.
Transferred Credits To: Syracuse University
John ★★★★★
Posted: Nov 20, 2025
Courses Completed: Precalculus, Applied Calculus
Great course. Professor Curtis and the TAs graded quickly and gave really helpful feedback that made the class feel smooth and manageable. Definitely recommend it.
Transferred Credits To: Binghamton University (School of Managment)
Trevor★★★★★
Posted: Jun 19, 2025
Courses Completed: Calculus I
POSITIVES:
One of the best math classes I have ever taken. The lessons made the failures of my previous professors very apparent. In a few short minutes, things that I used to struggle with just clicked. This professor is top notch and really wants you to understand how to use the material.
NEGATIVES:
The SOFTWARE is extremely frustrating. Even after taking the time to learn, there are countless glitches. You learn to work around them, and overall, the software makes the math convenient, but its failures are sorely felt throughout the course. Make sure you save often as it crashes regularly, especially with graphs.
The assignments are easy enough but some of them don't line up with the taught material. Be prepared to do some of your own independent research to get a deeper understanding of why things are the way they are.
Transferred Credits To: US Army
Taylor C.★★★★★
Posted: May 27, 2025
Courses Completed: Multivariable Calculus
Im a visual learner and had a difficult time understanding multivariable calculus my first go around, and found this course offered by Roger Williams University, which uses real-time 3d graphing of the equations. I would see my work be manipulating the models, which gave a robust understanding of what each variable did. absolutely loved the course and class recordings.
Transferred Credits To: Califorina Baptist University
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