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Learner Reviews & Feedback for Probability Theory: Foundation for Data Science by University of Colorado Boulder

161 ratings

About the Course

Understand the foundations of probability and its relationship to statistics and data science.  We’ll learn what it means to calculate a probability, independent and dependent outcomes, and conditional events.  We’ll study discrete and continuous random variables and see how this fits with data collection.  We’ll end the course with Gaussian (normal) random variables and the Central Limit Theorem and understand its fundamental importance for all of statistics and data science. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at Logo adapted from photo by Christopher Burns on Unsplash....

Top reviews


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Thank you to everyone who put a lot of effort into making this course; it is really helpful.


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Rounding could be the reason for homework mistakes

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26 - 46 of 46 Reviews for Probability Theory: Foundation for Data Science

By Peter C

Sep 3, 2023

Formula sheet a bit wrong and some lectures out of order. But, great course to get into stats!

By Hà T P

Jun 3, 2024

Thank you to everyone who put a lot of effort into making this course; it is really helpful.

By Julian U C

Jan 30, 2023

Marvelous course.......

It is the best course in all coursera. Thanks a lot <3

By Mauricio G F

Jul 20, 2021

It was a great course. Good combination between theory and practice.

By Vincent C

Aug 18, 2023

Excellent Review of probability. Interesting quizzes and projects.

By 상은 김

Oct 5, 2021

Helpful to understand data sciences basic thories

By Daniel C

Feb 3, 2022

Exactly the probability course I was looking for

By Mattias P

May 4, 2023

Good material and good and clear exam questions

By Hidetake T

Mar 30, 2022

Good course with sufficient amount of practice.

By Claudia G D

Mar 3, 2022

The course is very good.


Sep 12, 2022

great course thank youu


Jan 14, 2023

Very nice course!

By Kyle A

Feb 21, 2022

Great Course!

By Matt E

May 8, 2022

Lots of fun

By Bakhytzhan A A

Oct 24, 2022


By Издибаев С Е

Oct 9, 2023


By Nussipov G E

Oct 20, 2022


By Reza S

Apr 18, 2023

This course was overall very helpful, well designed, and well delivered. There were some glitches in, for example, the auto grader. Also, I submitted a few questions, which to my best knowledge were not replied to. Please note that I was a paid student. Nevertheless, I'm very happy with this course and highly recommend it to others who want to learn about the subject.

By Ree

Feb 19, 2024

Rounding could be the reason for homework mistakes

By Daniel H G V

Feb 20, 2023

good material but problems with the evaluation system

By William S

May 25, 2022

I can't get software to run.