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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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1101 - 1125 of 1,306 Reviews for Introduction to Probability and Data with R

By mnavidad

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

By Young S

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Feb 7, 2023

I was able to refresh a lot of things I've learned back in my undergraduate years through this course. I highly recommend.

By Abraham P

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Jul 23, 2019

I think it will be better if you give students more R practical assignment. But overall, very useful and helpful learning!

By Emily C

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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

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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

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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

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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

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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

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Jun 14, 2017

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

By Chowan

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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

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Feb 18, 2018

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

By Preeti S

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Jul 24, 2017

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

By Katherine W

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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

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Mar 10, 2017

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

By Gijs v d V

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Jul 28, 2016

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