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Learner Reviews & Feedback for Introduction to Probability and Data with R by Duke University

4,468 ratings
1,053 reviews

About the Course

This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization....

Top reviews


Jan 24, 2018

This course literally taught me a lot, the concepts were beautifully explained but the way it was delivered and overall exercises and the difficulty of problems made it more challenging and enjoying.


Mar 31, 2018

The tutor makes it really simple. The given examples really helped to understand the concepts and apply it to a wide range of problems. Thank you for this. Wish I could complete the assignments too.

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251 - 275 of 1,029 Reviews for Introduction to Probability and Data with R

By Nitin P

Oct 31, 2019

This course is a good starting point for someone to learn probability concepts.I really enjoyed this course along with e-textbook. Thanks Coursera.

By Lakshmi m

Apr 18, 2018

Helpful !! learnt solving problems with probability perspective .. which is will give more confidence while solving real time analytical problems

By Robyn C

Nov 20, 2018

Really enjoyed a refresh on statistics, and using relevant packages and examples in R. It wasnt easy but exactly what I wanted/needed to brush up!

By Suyash D

Jun 15, 2017

Awesome professor, awesome explanations and awesome project in the last week!! Taught me so many things that I couldn't have learned by myself. :)

By Gaurav P

Dec 04, 2019

Excellent techniques and methods involved in this scores. Learnt a great deal in R and doing analysis with hand on project was a great experience


Dec 07, 2017


Lecture is clearly understandable! I can enjoy studying every day!


I want to more explanations about data analysis assignments in week 5.

By Benjamin E

Jul 12, 2020

Good reminder / introduction to foundational probability and statistics concepts. Accessible, simple introduction to using some R functionality.

By Gustavo V D

Feb 08, 2018

Muy bien organizado, ciertamente una gran introducción no sólo a R, sino a la estadística básica, tanto descriptiva como inferencial. Muy buena.

By Caio H K M

Jun 11, 2016

Really good introduction for anyone who doesn't know probability nor R.

If you already know the basics of both, maybe this course is not for you.

By FangYiWang

Aug 28, 2018

I really think this is a great course to learn something about statistics as a beginner. It's quite easy to understand and also very practical.

By Neilay S

Jul 03, 2017

Great introductory course. Content is conveyed very nicely, so it's easy to understand. Labs are really fun since it's based on real life data!

By Xiaomin S

Apr 26, 2020

Great course! It fully covered the knowledge and skills needed for a data scientist, with lectures, book reading, homework and R programming.

By Dave S

Jun 13, 2019

Great course, good material and presentation, final assignment requires a bit of extra work but it's worth it for those who want to learn R.

By Jason

Dec 06, 2017

Great course,a very good way to get familiar with R programming as well as statistics,much better than the course "R Programming " from JHU~

By Ngoc T B N

Dec 12, 2016

Wonderful class for statistics and R. This R practices help you step by step, which is less overwhelming than R program from John Hopkins.

By Carlos A M Q

Jul 05, 2020

Amazing course, I learned new coding skills in R, also in data analysis in real scenarios and knowledge in statistics and probabilities.

By Brian C

May 13, 2019

Good introduction - the pace of work is appropriate for someone working full time, yet wanting to learn more about probability and data.

By Nikhil S

Apr 24, 2018

Very easy to understand and the topics have been explained very well. Even the additional resources are great for self study. Thank You!

By Arun I

Feb 23, 2017

Great course. Loved the energy of the instructor, the general flow, tutorials and the best part was the Open Stats textbook. Keep it up.

By Pankaj K

Oct 12, 2020

Every word was a learning-experience. I do a lot of data analysis using Excel, but this is going to be a boon, I can feel it.

Thank you.

By Jorge A S

Jun 17, 2018

Fantastic course. Explanations are great and detailed. The quiz questions have the right level of difficulty. Instructor is very good.

By Setia B

Jan 13, 2019

Highly recommend course which provide a firm descriptive stats and probability foundation.

The assignment is quite challenging though.

By Jose N d l R

May 25, 2017

Probably the best introduction to probability and exploratory data analysis; easy to follow and lots of learning behind this course.

By Oppong-Agyare A N

Aug 19, 2020

Great explanation. Understood Bayes' theorem better. Found the probability tree very in-handy! The project was interesting as well.

By yaw o a

Jan 02, 2017

Great course. I really enjoyed the lectures, Dr Mine is a great teacher. The assignments especially the labs were also very helpful