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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

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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

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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.

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1301 - 1322 of 1,322 Reviews for Introduction to Probability and Data with R

By Parth P

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Feb 18, 2022

This course is too theoretical and certainly not helpful to learn the R language. Better to watch free youtube videos on Stats and R. Just avoid this one.

By Rob E

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Mar 2, 2023

Terrible course. There's no support at all for the Coursera version of the class. None of the concepts are explained and no support at all in the forums

By Valerie L P

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Sep 16, 2024

The instructions for all the labs were confusing and left me lost. The pace was too quick, and I didn't feel like I learned anything.

By Isis K

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Jul 29, 2022

Explanation of how to download the packages and do the Knit thing did not work for me, so I searched for a course explaining better

By Derek E

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Feb 6, 2021

The lab instructions are terrible and the code used for this course is dependent on software libraries that are out of date.

By Devam R

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May 22, 2021

Although the course is alright but the focus is not on R. Thus, the course is not suitable for people who want to learn R.

By Rukshan T

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Jul 26, 2022

I have to drop this specialization because the so called 'nycflights' data set doesn't exist. What a waste of time

By Manoj G

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Sep 23, 2016

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

By Philomena

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May 9, 2016

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

By Eduardo F

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Jan 24, 2021

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

By Zendaoui I

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Oct 8, 2020

Manque des fichiers pour travailler les labs (datasets)

By Vanderson A D d S

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Jul 27, 2017

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

By Joanna C

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Mar 9, 2021

I do not understand the directions make no sense

By Martin H L

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Aug 2, 2020

Quiero darme de baja a este curso por favor

By Marty C D

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Oct 17, 2020

could not run labs. useless without it

By Natasha S

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Oct 29, 2019

Peer reviews were overwhelming

By Steven A

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Feb 27, 2024

Instructions are out of date.

By Toan Q

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Jun 8, 2020

Very poor technical support!

By Elisa

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Oct 5, 2021

Too many explanations

By Lloyd S

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Sep 5, 2017

Not as advertised.

By matthew B

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Jul 12, 2022

Can't unenroll

By zhanghan

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Dec 7, 2017

just so so