Chevron Left
Back to Introduction to Probability and Data with R

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

3,995 ratings
925 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.


Sep 04, 2019

Very clearly explained and the pace is awesome! I really enjoy each deadline and l can already see how it is impacting my day to day work and life. I ook forward to completing the course! Thank you.

Filter by:

176 - 200 of 907 Reviews for Introduction to Probability and Data with R

By Ayushmaan D V

Jun 28, 2020

This course was very helpful in teaching the basics of R and Data Analysis. Also, the labs and the final project give you a taste of how research is carried out in the real world.

By Artur I

May 21, 2020

Amazing! What I most liked about this course is that apart from introduction to probability concepts it also gives GREAT introduction to R programming and R studio.

Good Course!!!

By Mei-Ling F

Dec 23, 2017

I gained basic understanding of analysis using statistic concepts and R language. The professor presents the materials in a clear way and I enjoyed the class very much. Thank you.

By Zhang R

Nov 01, 2019

This course helps me a lot to build a basic understanding of statistics knowledge in probability and data. I am looking forward to continue this series of courses in the future!

By Nitin K M

Jul 07, 2019

The Course provides a brief intro of using Python to clean and analyze data. This course is awesome for beginners who want to embark their journey in the field of Data Science.

By Achal

Mar 08, 2018

good course but a R project should start from basics for people who are not even aware of the tool.

Please also include a little more about ggplot and its associated functions.

By Festo O

Jun 06, 2017

The course offers very good introduction to statistics. The course facilitator is very good in this field and she's excellent in compressing and conveying the course content.

By Himanshu D

Jan 30, 2017

It was my first online course on coursera. It was nice learning at coursera. The content provided in the course is very well constructed. Instructor videos are very helpful.

By Vincent H

Sep 18, 2016

extraordinary lecture with clear explanation and examples.

This course is way much better than the Johns Hopkins Data Science certification. I suggest you taking this course

By Vivek K V

Aug 23, 2016

Great course. I am a begainer, I learned how to start with R. I also acquired knowledge of probability. Course methodology is great, you get to learn and apply the concepts.

By Siddharth T S

Jul 06, 2020

Great introduction to statistics. Dr. Mine Çetinkaya-Rundel is a wonderfully capable instructor, and she is thorough and clear in her explanation of statistical concepts.

By Moein R

Feb 02, 2018

The course absolutely great. However, I hope that almost all the materials be reviewed in the next courses since they flee so easily.

Thanks a million


Moein Razavi

By Christopher T

Feb 14, 2017

The readings and videos were a great overview of Probability. The labs and data project worked well at teaching the student how R can be used for this type of analysis.

By Bicheng Z

Dec 29, 2016

Instructor explains the course material very clearly, course materials is comprehensive and homework assignment with DataCamp is the state of art online homework system.

By Mohammad A S

Aug 10, 2016

I am an O Level graduate and the course is perfectly designed for anybody to start learning basic statistics and R. The quizzes and assignments make it more interesting.

By Ravi K K

Apr 15, 2018

A beatuifully designed course for beginners. This course explains in great detail the basics and various prinicples of statistical analysis required for analyzing data.

By Royden A L

Mar 13, 2018

SO helpful for understanding basic stats. Really appreciate that the text is free. The R lessons are a very good intro with excellent examples. A very helpful resource.

By Miguel C O

Feb 08, 2018

The Introduction to Probability and Data course is a nice step into the world of statistics and a good refresher course for those of us rusty with statistical concepts.

By Carlos C

Oct 21, 2016

I really want to thank the responsible for this course. It really helped me a lot to clarify several things that previously were unclear to me, due to bad explainations

By Xinyan L

Apr 29, 2020

This is a great starting point to master R and use it in data analysis. Not much pre knowledge is needed. The course is instructed in a way that is easy to understand.

By Karan R

Jan 03, 2017

A highly demanding and challenging course. Perfect course material and instructors. It was extremely enjoyable and amongst the most satisfactory courses on Coursera.

By Matt S H

Jun 22, 2020

Really good overview of basic probability theory and R. Like the focus on practical applications and real life studies that were done instead of just toy problems.

By Jason Z

May 17, 2020

Great stuff, well organized lectures. From zero experience in using R to having some idea with it only took me a week to complete this course. Highly recommended!

By Dimitar D

Apr 18, 2017

I thoroughly enjoyed the videos, the special book accompanying the lectures and the R exercises. My particular favs are the book and the R assignments. Great job!

By David B J

Jun 12, 2019

Most of the content is useful. Some of the probability exercises do not seem necessary for someone going into applied statistics, but they were fun nonetheless.