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
5,663 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:

1101 - 1125 of 1,326 Reviews for Introduction to Probability and Data with R

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

•

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 XIAOLEI L

•

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.

By mnavidad

•

May 3, 2018

This course was well structured and provided the right information, the lectures give a beginners understanding of statistics and more

By Hung Q P

•

Nov 15, 2018

The course material covers the concepts of probability quite well. However, the course should go deeper in R programming techniques.

By Melissa S

•

Jul 13, 2017

The coursework is manageable and well taught but I think there is a disconnect between the first few weeks and the capstone project.

By Laura B

•

May 11, 2022

This course provids a good overview of basic statistic concepts and basic probablyity. Also, the R practice exercises are useful.

By Shiyue L

•

Nov 3, 2019

The data material choose is not good enough, there various of the problem in the process of draw graph, due to the data quality.

By Tomás S S

•

Jun 16, 2021

This is a good course to learn the basics of statistics, probability and R. However, it should be more intensive in R coding.

By Tasmeem J M

•

May 23, 2020

The theoretical part was really very useful, the R sessions could be a bit more descriptive to make the conceptions clearer.

By Serina C

•

Jun 2, 2020

Very good instructor, but not enough tutorial for the application of R studio, especially for those new to the programming.

By Peng G

•

May 6, 2020

Most learning is independently to expolring data, and you will bring you own question Using R to find the correlate answer

By Luo Y

•

Mar 22, 2018

I love the lab of this course. But I hope there can be one lab teaches us where to start with a data set. like the project.

By Henry B

•

Dec 12, 2017

Love the lecture style and the learning is at the appropriate level for those with an interest but not much prior knowledge