Introductory Statistics - Data Science - Distance Calculus Winter 2020 Online Calculus Academic CreditsDistance Calculus @ Roger Williams University operates 24/7/365 with open enrollment outside of the traditional academic calendar. We offer all of our courses during the Summer, Fall, Winter, before semesters traditionally start, after semesters start, during vacation weeks ... I think you get the idea :)
If you wish to complete a Introductory Statistics course online, make sure you take this course from a regionally accredited college/university so that the credits you earn from this course will actually transfer to your home college/university.
The free courses available from the MOOCs (Massive Open Online Courses) like edX, Coursera, Udacity, Khan Academy, MIT Open Courseware, etc. are really excellent courses, but they do NOT result in transferrable academic credits from an accredited university!
There are more than a few actual colleges/universities offering Introductory Statistics - Data Science - Distance Calculus courses online. Be careful as you investigate these courses - they may not fit your needs for actual course instruction and timing. Most require you enroll and engage your course during their standard academic semesters. Most will have you use a publisher's "automated textbook" which is .... um .... well, if you like that kind of thing, then you have a few options over there at those schools.
Distance Calculus is all about real university-level calculus courses - that's all we do! We have been running these courses for 20+ years, so we know how to get students through the these courses fast fast fast!
Here is a video about earning real academic credits in Introductory Statistics from Distance Calculus @ Roger Williams University:
Earning Real Academic Credits for Calculus
Applied Calculus vs Calculus I
Distance Calculus - Student Reviews
Date Posted: Sep 20, 2020
Review by: Genevieve P.
Courses Completed: Applied Calculus
Review: I found out from my grad school after being accepted that I needed a Calculus course before starting their MBA program. I had less than 6 weeks to do it (and as a non-STEM undergrad no less). The video lectures were informative, the pre-calc refresher was great to get re-conditioned, and the asynchronous format worked so well as I did this at night/weekends after work. I completed it in 4 weeks. Professor Curtis was extremely responsive, graded assignments quickly, and a supportive guide providing constructive feedback to me to excel at the assignments. I highly recommend this course for those who need a pre-req in a hurry or like learning on their own schedule. Thanks, Distance Calculus and Professor Curtis!
Transferred Credits to: Massachusetts Institute of Technology (MIT)
Date Posted: Jan 19, 2020
Review by: William Williams
Student Email: email@example.com
Courses Completed: Linear Algebra, Probability Theory
Review: I have difficulty learning calculus based math, akin to dyslexia when examining the symbolic forms, equations, definitions, and problems. Mathematica based calculus courses allowed me to continue with my studies because of the option of seeing the math expressed as a programming language for which I have no difficulty in interpreting visually and the immediate feedback of graphical representations of functions, equations, or data makes a huge impact on understanding. Mathematica based calculus courses should be the default method of teaching Calculus everywhere.
Transferred Credits to: Thomas Edison State College
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
Distance Calculus - Curriculum Exploration
STAT.03 - Probabilities
- S3: STAT.03 - Probabilities:
- S3.1: STAT.03 - Probabilities - Basics
- S3.2: STAT.03 - Probabilities - Tutorials
- S3.3: STAT.03 - Probabilities - Give It a Try
- S3.3.a: STAT.03.G1
- S3.3.b: STAT.03.G2
- S3.3.c: STAT.03.G3
- S3.3.d: STAT.03.G4
- S3.3.e: STAT.03.G5
- S3.3.f: STAT.03.G6
- S3.3.g: STAT.03.G7
- S3.3.h: STAT.03.G8
- S3.3.i: STAT.03.G9
- S3.3.j: STAT.03.G10
- S3.3.k: STAT.03.G11
- S3.3.l: STAT.03.G12
- S3.3.m: STAT.03.G13
- S3.4: STAT.03 - Probabilities - Literacy
- S3.5: STAT.03 - Revisited