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

4.7
stars
5,663 ratings

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

AM

Feb 7, 2021

After trying several courses to get me started with R programming, this one came to the rescue and had all the info I wanted. It also provides a great way to practice through labs and a final project!

AA

Feb 24, 2021

I always wanted to learn statistics from scratch, but I never had a good university teacher. Here I found a good teacher and also the opportunity to learn whenever I want ( and skipping parts I knew!)

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1051 - 1075 of 1,326 Reviews for Introduction to Probability and Data with R

By Guilherme P d S

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Mar 25, 2021

The course alone is great, the only problem is the final project, which depends on peer reviews. It is plagued by plagiarism and delays. I myself managed to complete the course in 2 days, but I had to wait 4 until my final project was evaluated.

By Subodh R

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Aug 22, 2018

A perfect course for the introduction to the world of Statistics. I will try to improve upon the review with my further studies and try to look at anything that you might have missed but so far it looks like this course covers all the bases.

By Tibor R

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Jan 29, 2018

The theoretical and practical part is very good, but in the project there are a lot of practical question to confront basically alone, without the needed help. The things were functioning in an unknown way... It was hard - at least to me.

By Nilesh W

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Sep 5, 2019

Great self-paced course along with good reason material. The project assignment needed a lot more than the 2.5 odd hours that were estimated. Give yourself more time for the assignment and practice the RStudio assignments in earnest.

By Gabriel M

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Aug 5, 2021

Some tests and activities have more complexity related to the content, but the Forum is an excellent way to search for guidence. Overall a great course to start working with R and to know the basics of Probability and Statistics.

By David B

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Jul 20, 2021

This was a good course. Only missing one star because I feel that there were ways that aspects could have been better, primarily in clarity on the capstone project at the end. Generally really enjoyed the course and recommend it!

By Francesca C

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Nov 3, 2020

The course is well structured, and the Professor is really good in explaining also complex topics. I had only some difficulties with the final project in R since I thought that more basic information were provided to the students

By Ian

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Jul 26, 2016

While the final project was a little unclear in terms of its parameters and there were several small file problems, this was overall a very well constructed course, especially in terms of its content before the final project.

By Sabrina R

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Mar 1, 2020

Solid course! You will have to do work outside of what is provided to learn R if you don't have programming knowledge prior. HOWEVER, the final project is when you will really learn how to use the software - learn by doing!

By Devon N C

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May 10, 2020

Course was great, except for the final project which takes much longer to complete than it says, and requires a lot of outside research on how to use R to be able to finish. Other than that very informative and affordable!

By Steve W

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Apr 8, 2017

It takes many more hours to complete the work than the estimates provided. For example the final project took me about nine hours, versus the 2.5 hours listed.

Still, a well-rounded course and it has already proven useful.

By MJ O

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Jun 7, 2016

The content is very well structured, the explanations are clear and full of useful examples. Some concepts were a bit difficult to grasp and required reviewing outside the material of the course. In general, excellent.

By marcia b

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Sep 7, 2021

The reading assignments were incorrect due to updated book. The instructions for completing the assignment lacked some necessary information that would have made the class less frustrating. Overall, I learned a lot.

By Jingyu Z

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May 5, 2021

The teacher teaches well, even non-English speaking students can still hear very clearly. Since I am already statistic graduated students, so the content is very basic for me, but I still think it is very useful.

By Mario S V

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Apr 17, 2018

It should go deeper in teaching R and how the logic on coding works. Moreover, it should teach how to learn and apply new codes, since the final project demands more coding than what was in previous lessons.

By Natalie R

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Apr 24, 2019

The concepts are taught very clearly and thoroughly, but they leave you hanging out to dry a bit with R. R is not an easy program and they could do a little more hand holding in this *Introductory* course.

By eugenie p

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Aug 10, 2016

If you have prior knowledge of R, then this course will help to brush up your statistics. The pacing of the material is very good. The examples used are relevant and interesting. Great course in general.

By Tay Y C

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Sep 25, 2020

Good basic course in probability and R! Lectures were really clear and with good examples. I only wish there were more teaching on R coding, as it was a big leap from the R tutorials to the final project.

By Ethan C

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Jun 11, 2020

Great coverage of basic statistics and R. Lots of room to experiment and fairly responsive forum boards. Main way to improve is to somehow allow for more discussion between classmates as well as mentors.

By Alfredo J N

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Jan 29, 2019

The course is excellent. The only drawback it is the peer review assignments. After you finish your assignment you need search for peers to review your and ask at least three people to do this for you.

By John H

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Mar 27, 2020

The instructions for the final project need to be much clearer. I had a hard time figuring it out, and all of the projects I peer-edited were done poorly. Otherwise, I enjoyed the course very much!

By Michael

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Jul 6, 2019

Good but questions lacked clarity in what is expected. i.e. "Work out the Boy to Girl ratio" - in what fashion do we do this, as it appeared to be the same as simply working out the "proportion of b

By Adam A

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Jun 10, 2017

A good introductory course to data analysis, statistics and the R programming language. Recommended to people who are new to data analysis and also those who are experienced and could use a refresh.

By Kevin C

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Oct 12, 2020

The only thing I may have not liked in this course is that they do help you in forums and that kind of stuff but a little video for your first R assignment with some of the R basics would be great.

By Swarnali H

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Jul 8, 2020

They could have touched more R. Otherwise everything is fine. But it is very easy to clear the course. Even the peer reviewed assignment is wrongly reviewed many times whether positive or negative.