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

4,802 ratings
1,150 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

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!)

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!

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1101 - 1125 of 1,125 Reviews for Introduction to Probability and Data with R

By Aaron D

Jul 16, 2017

Mediocre. Not much in the way of help for using R

By Arunav C

Jul 22, 2020

Very poor explanation skills

By Darrell W

Nov 21, 2017


By Alexander C

Jul 16, 2020

Before you start this specialization you should check the start date for the final capstone course and make sure that it aligns with the time you anticipate wanting to take it (add a few days for the annoying bottleneck of getting peer reviews back for your assignment in course 4 since you will not be allowed to enroll in course 5 until all of the first four are completed).

When I made it to the capstone course there was a full month until the start date so all of the assignments are locked until then. I am far from the only one this happened to. Others on the forum for the course are complaining about two-month waits. This seems like a naked cash grab since the specialization is a monthly subscription. Honestly, it would be better if they did just surprise you with an extra $50 charge to do the capstone because at least you would have the option of paying and getting started on finishing up the specialization.

Otherwise, the specialization isn't really maintained any more. For the first three courses it doesn't matter much because it's all pretty easy (my rating for the first three would actually be two stars as stand-alone courses probably). In the third week of the fourth course the instructor is swapped out for a new instructor who is utterly incomprehensible, using terms and ideas that haven't actually been introduced. The accompanying text is similarly incomprehensible. I say this as a math person who has subsequently gone to other resources to learn this specific material. The problem is not that the material just gets harder, but that the quality of instruction drops through the floor. So beware of that.

By Paul A

Aug 12, 2020

Avoid, this is a crash grab. The instructors don't seem to know a whole lot of R, or are unwilling to teach what they know. Making the labs work is a hassle on itself, not to mention the final assignment outrageous demands come out of nowhere and blindside you.

The introduction of R to the statistics and probability subjects is shallow at best. To learn the same amount of statistics and R on this course; a good textbook, some videos and a tutorial on R will give you better results on a fraction of the time.

The language used on the quizzes and labs is obscure to say the least. You have to navigate through what feels like booby traps in the hopes of figuring out what you're supposed to answer, not to mention the multiple choices are trap them selves. On the quiz feedback it actually said several times, things like: "Although this is partially correct, this other answer is more correct."

The quizzes took me back to my dreaded time in university where the teachers were out to fail you. Allegedly the instructor has a PhD and focused on pedagogy, to be honest I didn't feel this pedagogy approach anywhere and more like a padded resume.

By James B C

Mar 13, 2019

By the textbook it appears to be a very vanilla Stat 101 course, chapter 2 of the textbook did cover some conditional probability and Bayes theory otherwise very similar to stat 101 course I took in 1978. In other words, not exactly 21st century data science. Taught at high school / college freshman level (one of the exercises was writing mean and standard deviation with Greek letters -- pure busywork). The textbook inaccurately described a data set with several different data types as a "data matrix" a word usage that conflicts with both linear algebra and the statistical language R. This course is an obsolete and lame intro to statistics; I would recommend instead either Stanford's Introduction to Statistical Learning or the Coursera's Data Science Specialization.

By aparna j

Aug 9, 2020

Before assigning such a tough project in week 5 using R, the course should have dealt with R more thoroughly along with theory about probability. Week 5 mentions project to be of 2hrs, but it took me 1 week to understand R all by myself and then complete the assignment somehow. I would say, i chose the wrong course. Highly dissapointed. Should have opted some other course to learn R in depth.

By Michael K

Nov 14, 2020

The very first setup of R packages is broken. I paid $49 dollars because I waited 2 days past the 7 day free trial. After spending hours reading through the forums of many people having many different configuration problems, it is clear that the content creators should have fixed these issues on their end. Instead they leave students to figure it out.

By Pamela G

Jul 6, 2017

While the videos and quizzes were easy to use, I had extreme difficulty using the DataCamp and could not find any tutorials that would answer my questions. Also, am unable to complete the course because of technical difficulties with RStudio. The course should have more online resources for those with little experience.

By Niharika K

Dec 18, 2020

For Beginners, it is very difficult to understand the mechanism of how R works without the video guidance. Though reading is available, but it does not give a good understanding due to the complexities of R.

By Bo W

Apr 15, 2016

thanks for your effort to make videos, but this is the first time find a class that i can not submit my answer to check if it is correct or not before my account is upgraded. Disappoint to Coursera and Duke.

By Piotr Z

Jun 7, 2020

The course was not very helpful for me, as practical cases with R were poorly developed and the final data capstone project is badly formulated which makes it extremely difficult to pass.

By Derek E

Feb 7, 2021

The lab instructions are terrible and the code used for this course is dependent on software libraries that are out of date.

By Manoj G

Sep 23, 2016

Speed is very fast for a basic level student. The data explanation and correlation demonstrated is not clear.

By Philomena

May 9, 2016

There's no point in auditing the course since you don't get access to the answers

By Eduardo F

Jan 24, 2021

the introduction with R is extremely confused for someone who is from scratch

By Mohamed A R

Oct 8, 2020

Manque des fichiers pour travailler les labs (datasets)

By Vanderson A D d S

Jul 28, 2017

There isn't a support to help you with doubts ...

By Joanna C

Mar 9, 2021

I do not understand the directions make no sense

By Martin H L

Aug 3, 2020

Quiero darme de baja a este curso por favor

By Marty C D

Oct 17, 2020

could not run labs. useless without it

By Natasha S

Oct 29, 2019

Peer reviews were overwhelming

By Toan Q

Jun 8, 2020

Very poor technical support!

By Lloyd S

Sep 5, 2017

Not as advertised.

By zhanghan

Dec 7, 2017

just so so