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

4.7
stars
5,562 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

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!)

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!

Filter by:

1026 - 1050 of 1,306 Reviews for Introduction to Probability and Data with R

By Tomasz J

•

May 26, 2017

Very good introduction to statistics, even for those already forgot maths.

Do not take this course as introduction to R. The course does not explain basics of R (e.g. lists vs vectors, data_frame vs data.frame). I'd suggest anyone to take an introduction to R first or simultaneously with this course.

By Mykola H

•

Nov 5, 2022

Good statistic cource with some practice in R-studio. Would like to see more tasks to do. If you start this course be sure you are DOING all exrersises the recommended book offers. A bit challanging final project without proper goal, got to aks for help do find out how am I supposed to deal with it

By Eddie A

•

Aug 17, 2020

This is a nice intro with some good lectures. My only criticism is that the estimated reading times and the estimated time for the week 5 projects were way off, for me at least. I suspect that, if you're starting from scratch at stats, they will be way off for you as well.

By Jorge F

•

Aug 21, 2020

I would separate my feedback en two ways. First, I think is a good basics statistics course. but second, I feel is a bit weak in R topics. Its mean, it does not prepare you well for the last project. It could be stongest in R codes, plots, etc. througth the first 4 weeks.

By Jennifer g e

•

Oct 5, 2020

i learned a lot, teacher explains very very well, but honestly i would not mind if there was a little more help with Rstudio, before this course i had never use the programme and that was a little bit hard for me, i had to see lots of extra videos to learn a little more.

By é—«é¾™

•

Aug 27, 2018

In general , I think this course is very useful and is well designed, I've learned a lot from it.

However, I think it would be better if students are provided with video lesson about Rstudio , it will help to understand R programming especially for the beginner.

By Bruno D G

•

Jan 10, 2019

Very clear and well presented course. Best course in stats I had in my life. I removed one star as the time suggested for studying and doing the assignment is well over what is suggested in the course. Make sure that you have plenty of time in front of you :o)

By Long T V

•

Apr 13, 2021

Everything in the course is very fine except the last Project, which barely has anything to do with the course lecture contents and instructions, and which does not have very clear instructions/requirements - I largely misunderstood what I was supposed to do.

By Felix H

•

Sep 21, 2017

Concise introduction to the field, easy to grasp and hands-on. A bit shallow on the theoretical side (optional material would be nice), you just learn what you need and no more. Practical assignments are well designed and give you a great introduction to R.

By Liew H P

•

Sep 18, 2017

I had some statistics background in my undergraduate training. While my primary focus of taking this course was learning R, I manage to learn some new things too. Through the course, I was able to learn very basic codes and would love to continue to do so.

By Marta C

•

Oct 9, 2018

The materials and lectures were very good and detailed regarding probabilities and data. I felt the difficulty of the final project (in particular with regards to the R component) was not adequate for a beginners course and it required a lot of research.

By Guilherme P d S

•

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

•

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

•

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

•

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

•

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

•

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

•

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 R

•

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

•

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

•

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

•

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

•

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

•

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

•

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.