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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!

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1076 - 1100 of 1,306 Reviews for Introduction to Probability and Data with R

By José J T M

Nov 28, 2017

All the contens are very good, but I have the feeling that I passed without knowing much about R. It good be better if there were more diverse examples of coding in R.

By Sichen L

Oct 29, 2017

This course is a great intro course for beginners, however it lacks depth. More examples and explainations would make this course a lot better than it is at the moment

By WangJing

Oct 28, 2020

The stat related lessons are very concise and informative.

However, as a beginner of R, I had many trouble finishing my week5 project. Actually I had to google a lot.

By QUOC T P

Jan 22, 2017

The course was great

However, I expect to have some kind of more exercise since the amount of workload is not enough

Thanks for building this course

PHAN Truong Quoc

By Ashwini A K

Jun 2, 2020

I have learnt about R programming, probability and statistics and EDA through this course. The video lectures are presented nicely and are quite informative.

By Krishna L

May 26, 2020

The course content on statistics is great But they could've done better in R

The skills in R required for the final project were not covered in this course.

By Piotr L

Sep 8, 2022

The explanations of theory were very good, but I was missing some more guidance in terms of R (I had to do excercises on DataCamp to compensate for that)

By Masa F

May 3, 2020

There could be more clear instructions and completed tasks for R exercises. For beginners it does get too complex too fast without a resource to turn to.

By Raenish

Nov 11, 2018

Hi.I had a wonderful time with this course.Thanks to Instructor Dr Mine Rundel. I am a beginner and new to stats,still i got clarity on base statistics .

By Lahpai N H

May 26, 2023

This course provides research knowledge. Any time anywhere we can study. Therefore, it is flexible and benification course for profession development.

By Kaley H

Jun 25, 2020

Great course! Really great prof, who does a good job explaining the concepts. I am completely new to R and the course really helped develop my skills.

By Robert H

Aug 12, 2017

I appreciated most of the course. I thought that the final assignment did not fully represent the course as a whole, though otherwise I appreciate it.

By Smaran R

Feb 19, 2022

The course is good for beginners. It would have been better if more codes were taught that covered the statistical concepts learnt in the lectures.

By guanglingxu

Sep 10, 2018

The R practice is really useful,however,you need to pay more effort on final project by learning more knowledge than what was offered by this cours

By José L E N

Aug 15, 2016

Fantastic course. Both the lessons and materials were very educational. Besides it constitutes a very didactic introduction to ggplot2 and dplyr.

By Mark T

Jul 28, 2016

Great introductory course in statistics. The lectures are not about R per se, but you learn R by applying the statistics that you have learned.

By Yao H

Nov 5, 2017

Very informative, the project might be a bit difficult for R starters like me since the introduction to R in this class is not very systematic.

By Murray S

Jan 2, 2017

Does a good job of covering the basics. In my case, I'm looking for more of a refresher rather than learning the concepts for the first time.

By Johannes J V

Nov 10, 2020

Good course for statistics. However, it would be great if instructor explained some of the R tools used in the labs in her lecture videos.

By Saurav G

Dec 28, 2017

This was one of the great course available and the first one I have completed.

Thank you mentors for your hard work in making this course.

By Betül F Y

Feb 8, 2022

I think the r part of the course is too hard for the people who do not know r programming. Some videos about using r should be included.

By 李晓蕾

Mar 17, 2018

statistics are quite adequately illustrated; however, the R skiils teaching is not efficient. i encounter alot of probelems of graphing.

By Alessio B

Jun 1, 2017

Very good course. A bit basic for my background, but useful anyway to refresh concepts and look at them from a different point of view.

By Miguel A B

Jun 8, 2020

Cheatsheets should be provided for beginners in using the RStudio. In that way, graphs and plots can be easily understand by the user.

By Chee C H

Aug 9, 2019

This is a good course for learning basic statistics, and then learning how to use some of those ideas with the R programming language.