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Summer 2026 - Calculus-Based Statistics Course Academic Credits

Our Calculus-Based Statistics = Probability Theory course via Distance Calculus @ Roger Williams University is offered 24/7/365, with on-demand enrollment, so you can start today, or during the Summer 2026 if you wish. With 1 year to finish from your enrollment date, you have maximum flexibility to finish the course on your timeline.

Summers should be for surfing or swimming, and finishing your Calculus-Based Statistics course as fast as your academic skills allow will leave you more time for summer fun! Join us for Summer 2026 or squeeze in the course before you summer vacation plans kick into high gear.

All Distance Calculus courses are asynchronous in nature - so you can be on a train going through Europe this summer, and with some internet access, you can complete your Calculus-Based Statistics course while you explore the European Union on your Eurail pass!

Finishing your Calculus-Based Statistics course quickly allows you to complete prerequisites during the Summer 2026 so that when Fall 2026 arrives, you have the prequisites for your Fall 2026 courses all taken care of. Get ahead of the academic calendar curve by completing your Calculus-Based Statistics course ahead of schedule - and asynchronously so your summer plans are not interrupted!

Here is a video about our Calculus-Based Statistics course from Distance Calculus @ Roger Williams University:



Calculus-Based Statistics course can best be described as a "first course in the study of Statistics and Probablity Theory using Calculus".

This course has many names, all being equivalent:
  • Probablity Theory
  • Calculus-Based Statistics
  • Second Course in Statistics for STEM


Our Probability Theory course differs from a classroom/textbook-based course in that we employ Mastery Learning so that you complete all assignments at 100% to assure competancy, as well as our curriculum shifting the course to a laboratory-style course, where theorem/lemma/proof type exposition is replaced by running experiments in Mathematica as you would in a science laboratory to empirically deduce the concepts and behaviors of Probability Theory, both solvable (classically) via hand-based techiques, as well as studying Probability Theory that can only be solved and investigated graphically and numerically using a computer. The Probability Theory curriculum is highly visual and based upon observations of experiments run in Mathematica or LiveMath.


At Distance Calculus, we call our "Calculus-Based Statistics" course as Probability Theory - DMAT 311 - 3 credits.

Below are some links for further information about the Calculus-Based Statistics course via Distance Calculus @ Roger Williams University.






Distance Calculus - Student Reviews

Aileen C.★★★★★
Posted: Dec 8, 2020
Courses Completed: Differential Equations
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
Dorota M.★★★★★
Posted: May 5, 2025
Excellent course that you can take at your own pace. The instructor is excellent and I was able to get my questions answered quickly and complete this for an EMBA prerequisite. I would recommend this course to anyone trying to learn basics of calculus on their own timeline. The class prepared me well for my coursework at MIT.
Transferred Credits To: MIT
Anonymous★★★★
Posted: Jan 12, 2020
Courses Completed: Calculus I, Calculus II
I needed to brush up on my high school calculus and finally take Calc II before starting a graduate program that needed them as prereqs. This was perfect choice to fit in that summer. Got done at fast pace that I wanted and needed. Also had added bonus of one on one feedback and help when needed. Video lessons were better than many on campus instructors in large lecture settings. Recommend for anyone needing to satisfy prereqs at home institution.
Transferred Credits To: University of Michigan
Aiden B.★★★★★
Posted: Jul 29, 2026
Courses Completed: Calculus II, Multivariable Calculus, Differential Equations, Linear Algebra
After completing all the math offered by my highschool, I switched over to Roger Williams for Calculus II and onward. Overall, it has been a pretty great way to understand the topics online, with transferrable college credits. The exams are not terrible, and the courses cover the vast majority (if not all) of topics covered by traditional courses, with some unique ones added to. So far, I have taken four courses, with another one or two before I graduate.

The only problem with the course is the lack of pen and paper work. This shouldn't come as a crazy surprise with an online course, but there is not much emphasis on symbolic computation. Mathematica or other software does most of the heavy computation for you. The lectures usually show how to solve the problems through paper, but those skills are rarely put into practice. Literacy Sheets act as a way to do some of that (especially with the Calculus II & III course).

All in all, this isn't a huge issue. I just memorize and practice things like double integration, Laplace, ODE solving, matrix diagonalized form, row operations, etc. With a little outside work, this resolves itself. Without Roger WIlliams, I probably would not have been able to take any of these math courses in highschool.

So overall, a great choice for highschool advanced math, especially with transferrable credits.
Email: abarger@protonmail.com
Lucas L.★★★★★
Posted: Jun 25, 2026
Courses Completed: Multivariable Calculus
The professor as well as the TAs give great feedback when you need help with problems and the videos are great at explaining concepts. Return time on work is good and the work is not too much to handle.
Transferred Credits To: University of Wisconsin
Hari K.★★★★
Posted: Jun 24, 2026
Courses Completed: Linear Algebra
This course gives a perspective on Linear algebra that no traditional course does. I’d say i gained much more intuition for this subject from the DC course than my friends who took traditional courses elsewhere. As a cs major, this version of learning with visualization has helped me a lot in understand ML models. However the course doesn’t have videos for the last 2 chapers so i had to self learn with the mathematica notebooks. Response times are a little slow but since it’s a remote class, i guess it’s justified. Overall amazing course and definitely take this over traditional lin alg classes.
 
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