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

4.7
stars
5,697 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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By Shreyansh S

Jun 22, 2020

Great

By Nimish B

Sep 19, 2019

Great

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Jul 16, 2019

great

By Candice W

Dec 15, 2018

Good!

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Aug 8, 2016

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Nov 11, 2024

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Jun 6, 2023

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Apr 22, 2022

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Dec 23, 2019

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Dec 28, 2017

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Nov 21, 2017

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Nov 28, 2016

Good

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Oct 1, 2016

非常好!

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May 25, 2020

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Jun 4, 2020

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Nov 19, 2017

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By Tobias M

Mar 21, 2019

This is a really great course, but it is NOT easy!

There is a steep learning curve for people who are beginners in R with the project at the end being quite challenging. The stats part of this course starts with a good learning curve and picks up speed quickly as well. The videos available for this course are generally good quality but could be ironed out a bit more in terms of some rough editing. You can see the age of the video material showing up in some of the videos.

Overall there is good help available on the discussion forums and using the statistics textbook and practicing with the example questions is highly recommended.

The time required as stated for each and every aspect of this course is vastly underestimated, a trained person will be able to finish this in the given time but a beginner can easily double or triple the time needed for the tasks.

Weekly time usage for class and all example questions plus digging for problem solutions in the forums is between 7 and 10 hours, the project at the end for an absolute beginner alone is easily another 10 hours hacking in R plus some extra time getting used to the project material.

Do NOT attempt this course if you can not dedicate enough time for this course!