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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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1076 - 1100 of 1,322 Reviews for Introduction to Probability and Data with R

By Andrés F

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Jun 7, 2016

En aspectos generales e curso me aprecio muy dinámico, aunque las expliicacionesde R un poco escuetas, esto hizo que el trabajo final fuera dificil reaizarlo ,ya que las consgnasno eran claras.

By Khoa N

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Jun 4, 2018

The course is pretty nice, I learned some new statistics concepts although the knowledge is not so in-depth. The course also needs more tutorials on R. However, the assignments are quite good

By Sushama K

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Jul 23, 2020

The Statistics course was excellent. The book provided additionally helped a lot. There could have been some instructional videos for R and some samples on how to analyse the visualization.

By Anand N

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Apr 20, 2020

The course was great but the final project was a bit difficult/confusing to understand at first. The more detailed example should have been provided before starting the project work

By Christopher N

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Jun 21, 2022

Excellent course and the videos were very well explained. It would have been helpful to have some videos on using r for the beginers like myself. But all in all an excellent course

By Sonia E G P

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Jan 18, 2018

The course is very good on statistics. However, the R section is not as detailed and clear as the mathematical portion. The questions about R on the forum are not answered quickly.

By Samuel A

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Jan 1, 2018

Materials covered a substantial aspect of introductory Statistics, providing adequate examples with great coding sessions. Instructor did an awesome job in conveying the concepts.

By David S

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Sep 17, 2019

The videos of the course should show more R coding.

The assignments are too long, they take ages to review.

The explanation of the statistical concepts are excellent! Great job!

By Rajershi G

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Jun 20, 2020

Good explanation of some non-intuitive concepts and nice applications at the end of each section with quizzes and assignments which test your understanding quite proficiently.

By Rosmer M V C

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Jul 23, 2020

Good introductorial course about Statistics and probability. The course would be better if they explained more details about Rstudio and its libraries like dplyr and ggplot2.

By Elisa A

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Jun 15, 2020

Very well structured and clear - I enjoyed it a lot. Just one point though...the time for finalising the assignments and lessons is way underestimated (at least for my pace)

By Arun K

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Nov 25, 2020

Very nice course with challenging labs and project at last week. Thats why you felt like earning the certificate. Looking forward for next courses in this specialization.

By José J T M

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Nov 28, 2017

All the contens are very good, but I have the feeling that I passed without knowing much about R. It good be better if there were more diverse examples of coding in R.

By Sichen L

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Oct 29, 2017

This course is a great intro course for beginners, however it lacks depth. More examples and explainations would make this course a lot better than it is at the moment

By WangJing

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Oct 28, 2020

The stat related lessons are very concise and informative.

However, as a beginner of R, I had many trouble finishing my week5 project. Actually I had to google a lot.

By QUOC T P

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Jan 22, 2017

The course was great

However, I expect to have some kind of more exercise since the amount of workload is not enough

Thanks for building this course

PHAN Truong Quoc

By Ashwini A K

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Jun 2, 2020

I have learnt about R programming, probability and statistics and EDA through this course. The video lectures are presented nicely and are quite informative.

By Krishna L

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May 25, 2020

The course content on statistics is great But they could've done better in R

The skills in R required for the final project were not covered in this course.

By Piotr L

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Sep 8, 2022

The explanations of theory were very good, but I was missing some more guidance in terms of R (I had to do excercises on DataCamp to compensate for that)

By Masa F

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May 3, 2020

There could be more clear instructions and completed tasks for R exercises. For beginners it does get too complex too fast without a resource to turn to.

By Raenish

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Nov 11, 2018

Hi.I had a wonderful time with this course.Thanks to Instructor Dr Mine Rundel. I am a beginner and new to stats,still i got clarity on base statistics .

By Lahpai N H

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May 26, 2023

This course provides research knowledge. Any time anywhere we can study. Therefore, it is flexible and benification course for profession development.

By Kaley H

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Jun 25, 2020

Great course! Really great prof, who does a good job explaining the concepts. I am completely new to R and the course really helped develop my skills.

By Robert H

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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

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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.