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
5,679 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!)

Filter by:

1151 - 1175 of 1,327 Reviews for Introduction to Probability and Data with R

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 15, 2022

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

By MANAS R

•

Aug 22, 2020

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

By Yizhang Z

•

Sep 2, 2021

Good course overall, the last week's peer review project was taking bit too long.

By Tseliso I M

•

Jul 25, 2017

Very involving. The balance between learning probability concepts and R is great.

By Hira S

•

Sep 7, 2023

This course gave me appropriate knowledge and skills regarding probability and R

By Javier V

•

Jul 12, 2016

should be open to anyone. But is ok, you can still ger knowledge without paying

By Jim M

•

Mar 29, 2022

The videos were excellent, but more hand holding is needed with R software.

By Shalabh S

•

May 31, 2017

Very nice coarse for someone looking for a working knowledge of the subject.

By Ines M F C

•

Oct 18, 2022

Tiene mucho contenido estadístico pero poco contenido de programación en R

By James F

•

Jul 6, 2018

Solid start. The final project was more R-intensive than the course taught.

By Koen L

•

May 4, 2017

Thorough course with a decent starters' course for people who are new to R.

By PLN R

•

Jun 10, 2018

Great course!! A good way to brush up Statistics and Probability! Kudos!

By Daniel C

•

Sep 11, 2017

Great course for learning the foundations of probability and statistics

By YongHyun K

•

Dec 18, 2018

It was a good course that helped to build basic statistical knowledge

By Nuno d S

•

Jan 13, 2017

A smooth introduction to statistics. Interesting and well organized.

By Daniel J

•

Apr 8, 2018

Instructions could be clearer, but the course overall is very good!

By MOUMITA B

•

Aug 2, 2021

More excercise on R-programming should be included in this course.

By Ben L

•

Aug 3, 2023

Little more difficult then expected but overall good introduction

By David O

•

Dec 9, 2017

I learned a lot from this course. I look forward to the others!

By Ryan M

•

Jun 8, 2016

I am hoping for some more R specific programming and reference.

By H.M F R

•

Sep 3, 2019

4 star for now. Will give a complete review after completion

By Deleted A

•

Aug 29, 2017

Best course in programming I have taken so far on Coursera.

By Pablo I S

•

Sep 23, 2023

Good course. Feedback in quizzes was a little bit lacking.

By Adhishwar S

•

Jul 19, 2020

Some concepts like p-values could be more elaborated upon.