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
5,624 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

SG

Invalid date

The contents of the course about statistics are friendly to the beginners and easy to understand, however, the R learning is a little bit hard to those who have no computer or coding background.

SH

Invalid date

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.

Filter by:

1126 - 1150 of 1,322 Reviews for Introduction to Probability and Data with R

By Emily C

•

Sep 9, 2017

A very thorough course, it helped me understand much more about statistics and especially how to read and interpret data.

By Anil

•

Dec 5, 2017

the probability part of this project is good but the last assignment is not as per the course.Its mostly based on R.

By Deleted A

•

Dec 18, 2016

A brief discussion to the questions asked in between the video lecture might be useful for those who got it wrong.

By Zuhayer M

•

May 22, 2020

Very good basic level statistics course. Although I believe the R should be taught more detailed and using video.

By Arijit D

•

May 8, 2019

The Course should have more detailed plotting guides and more videos on GGPLOT package for visualisation of data.

By Pauline T M M

•

Jun 14, 2017

Lessons are simple and easy to understand, which help to provide good fundation in Statistics. Good for beginner

By Chowan

•

Mar 29, 2019

Although the final project is quite hard, and I took a long time to complete it, but I did learn a lot from it!

By Felipe C B

•

Feb 18, 2018

Las explicaciones son claras, pero los talleres finales no me convencen. Algunos videos son muy largos también.

By Preeti S

•

Jul 24, 2017

Theoretical part was very well explained. But there should have been a little more details of R programming.

By Katherine W

•

Jun 3, 2020

I really enjoyed this class, however I felt that some of the topics could have been covered in more depth.

By Mark C

•

Mar 10, 2017

We used DPLYR package without any requisite introduction, but it was nonetheless very informative, thanks!

By Gijs v d V

•

Jul 28, 2016

Lectures and material we're really good. Haven't done the practical part, so can't say anything about it.

By Aaron M

•

Aug 29, 2019

Solid foundations learnt, however needed to seek help elsewhere to get a better understanding of using R

By Subodh C A

•

Sep 18, 2017

The statistics and probablity part is very good, but something more needed to be done about basics of R.

By Gustavo Q

•

Sep 4, 2023

The course is great, but the final project could use more guidance and more detailed instructions.

By Amine F

•

Mar 13, 2020

Very good introduction to data

a pre requisite of R programming would have made this course easier

By Mohammad S S

•

Mar 12, 2018

interesting course, would be better if it offers more practice when it comes to programming with R

By PULIDO, L (

•

Apr 4, 2020

Wonderful course! I can use these statistical knowledge on data analysis on my upcoming thesis.

By Andres U

•

Feb 24, 2017

I enjoyed watching the course videos. Really nice practice material to get you going!!! Koodos!

By Antônio F

•

Aug 5, 2017

Excellent course, but I think that the introduction to R is not sufficient to the final work.

By David S R P

•

Oct 7, 2020

It is a great course to begin your understanding in R programming and statistical analysis

By SHUANGSHUANG L

•

Dec 15, 2019

Overall i found the R programming really useful and i would love to learn more about it.

By Robert N

•

Jun 25, 2020

Would like a little more R in the lectures, but overall well put together and engaging

By Loi H H

•

May 14, 2022

Great course and it helped me to learn basic R and refreshed my statistics knowledge.

By MANAS R

•

Aug 21, 2020

Very appropriate course for any beginner like me. Thanks to my mentors and Coursera.