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Learner Reviews & Feedback for Introduction to Probability and Data with R by Duke University

4.7
stars
5,570 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!)

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476 - 500 of 1,309 Reviews for Introduction to Probability and Data with R

By Hà. L K

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Apr 7, 2024

The content is well organized and comparatively more thorough than other courses on Coursera

By Tao S

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Feb 1, 2021

The course content is clear and concise, and the final assignment is useful and challenging.

By PAUL M

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Nov 15, 2017

Very good introduction to R Programming, although the R-project felt like baptism with fire!

By learning

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Mar 19, 2023

Very helpful course with step-by-step statistic problem solvation and well-instructed labs!

By Sebastian E P R

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Jun 29, 2020

Very useful for someone that needs to start updating to R language for statistical analyses

By joshua m

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Jan 23, 2023

Great overview of some interesting topics. I love that she included R as the primary tool.

By Pooria N

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Jul 17, 2022

One of the best courses in Coursera in the field of statistics for new learners. thank you

By Sanny

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Jan 28, 2021

Thank you. This course really help me a lot to understand the basic elements of statistics

By Osamu A

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May 31, 2020

I found the lecturer put much effort into producing high quality lectures and assignments.

By 倪仲望

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Jan 1, 2019

Have a simple understanding of data analysis, as well as a simple use of R language tools.

By Manolis K

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Feb 22, 2022

Very thorough and good tutorials. I liked the presentations and the explanatory analysis.

By Nguyen V

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May 22, 2019

Great and easy to pick up. I love the bite size videos, very easy to digest and re-watch.

By Jose C O B

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Jun 17, 2016

The concepts are clearly presented in a way that makes it simple to understand and apply.

By Ian T

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Apr 28, 2020

Well-paced course that really reinforced probability content with R programing language.

By Ashley J

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Feb 24, 2017

Grreat overview of the basics and the labs provide an excellent platform for learning R.

By Harsha S

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Nov 23, 2016

This course is very well constructed. The material is comprehensive and easily digested.

By Long H

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Aug 23, 2016

This course is absolutely fantastic. The lectures great and the assignment was excellent

By Jeff G D

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May 6, 2021

Super useful and helpful, but we have to pay for grading. Still, 5-star for the course.

By Eduardo G L

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Jul 17, 2023

Excellent course, very clear, with interesting exercises and useful applications in R

By Hari A

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May 21, 2022

The course is well organised with adequate study materials and iinstructional videos.

By Abishai S

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Jun 16, 2021

Very well structured and defined methodologies for easier grasping and understanding

By Ashutosh S

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Apr 21, 2020

It is a very nice course. Nicely designed. Instructor's way of teaching is very good.

By Zankrut G

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Oct 31, 2019

a very useful course for beginners. Proper instructions are given by the instructors.

By Zhiyin P

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Aug 12, 2016

I like this course. The material is presented clearly. The home work is well defined.

By Joshua A B

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May 21, 2016

I've taken several statistics, data science, and R courses. This is one of the best.