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Learner Reviews & Feedback for Inferential Statistics by Duke University

4.8
stars
2,621 ratings

About the Course

This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data examples, you will learn to report estimates of quantities in a way that expresses the uncertainty of the quantity of interest. 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 course introduces practical tools for performing data analysis and explores the fundamental concepts necessary to interpret and report results for both categorical and numerical data...

Top reviews

ZC

Aug 23, 2017

This course by Professor Çetinkaya-Rundel is awesome because it is taught in a very clear and vivid way. Lab section and forum are so dope that I love them so much! Definitely strong recommendation!!!

MN

Feb 28, 2017

Great course. If you put in a little effort, you will come out with a lot of new knowledge. I recommend using the book after you have seen the movies. It gives a deeper picture of how it works. Great!

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76 - 100 of 460 Reviews for Inferential Statistics

By Muhammad F

Apr 8, 2020

The course gives me an understanding of inference for numerical and categorical data. The example as well as the project assignment use real-world data which prepares the students to use the technique taught in the course to tackle real-world problems.

By Cynthia J J

Dec 28, 2019

This is a wonderful course with a very good instructor. Her explanations and observations are clear, concise and on point. I am so glad I am taking this course because now the mystery of statistics is over for me. I finally understand this logic.

By Satoshi

Mar 17, 2020

This course is brilliant. It's straight forward and a lot but moderate practices. A quiz, working on R, and discussion forums assist your understanding of the contents. I am not a native English speaker, but I could enjoy this learning. Thank you.

By Pat B

Aug 4, 2017

This course is very complete. It helps, even who have already studied Statistics on university level before, to really understand the concepts on inference. The labs are cleverly built to help the student to use R and apply the concepts learned.

By Mrigank S

May 18, 2016

The course content is very comprehensive and all the concepts have been explained clearly. This course has helped me a lot in building my statistics skill. I would recommend this course to anybody who is looking to learn inferntial Statistics.

By Subodh C A

Sep 16, 2017

An excellent course that was just right for me. I have started on course 3 and hope to complete the Capstone project eventually. My thanks to Prof. Cetinkay-Rundel and other members of the Coursera team for giving me this opportunity.

By Luo Y

May 2, 2018

Very good course! With the course and the book you can get equipped with all the basic skilled needed for inference. Strongly recommended!

It took longer hours to study for me than the estimated time provided by coursera though

By Andreas Z

Jan 7, 2018

This is a hands-on to the point introduction to hypothesis testing. The perfect course for showing "how it works" without bombarding the reader with maths. Also very well suited for relearning the material after 15+ years.

By James H

Jul 25, 2021

Really good overview of inferential stats such as central limit theorem and T-Tests

The best part of the course is they relate the theory to real world examples and worked through examples that makes the course relatable.

By Chen N

Mar 15, 2019

Much better than the course offered by John Hopkins University on the same subject. Concepts are clearly explained with detailed examples. Nice course to solidify your statistics skills. And BTW, really cute professor :)

By zhenyue z

May 25, 2016

very awesome class for statistics, very clear explanation. recommend for any one who want to know statistics. This inferential class is much better than the one I took from JHU data science course. 5 star recommended.

By Peter H

Sep 29, 2020

The course is not easy to follow, but you can learn a lot with the practice and R Lab. The Reference book is more clearly explained. Suggest starting to learn from the first unit, then familiar with R. That's helpful.

By Ylenia V

Jun 24, 2020

The course was very well organized and with detailed explanations and exercises offered by the Professor. Lots of practice with R was included, which makes it extremely useful for coding and future jobs in this field.

By JEAN P D L

May 12, 2023

For a student who is new to the subject, the duration of the course is shorter than necessary to establish the content presented. There is a need for the student to seek extra resources to understand the content.

By Kirti K

May 30, 2020

This course was an eye-opener for drawing inferences from huge data sets using R. The concepts were so clearly explained with many examples, that it is now quite easy to implement the tools for real observations.

By Prabhakar K

Feb 25, 2017

It is my first course. Two weeks have passed and I am learning and relearning. The professor is really good and I am motivated every day to be on track. I registered for the course. I wish to pass the course.

By Akshay K

Jul 3, 2020

The course structure was up to the point, not more not less. and it was more of a practical approach rather than high-level theoretical proofs. I really enjoyed this course it was a perfectly balanced course

By Bruno R S

Dec 18, 2017

Excellent course for one seeking to understand the basics of Inferential. It as difficult as it sounds, but manageable and the additional course materials are enough for the intermediate level self study.

By Ann N

Jun 29, 2017

Quite challenging, but I truly enjoy the Final project.

Video was fast, and a lot of Video to learn and ponder from :( not a bad thing, but I feel constantly under pressure. I learned A LOT!!.

Thank you.

By Long D

Apr 29, 2020

This has been the second course in this specialization and things are going smoothly.

The greatest thing is the final projects which give us freedom on what we want to figure out with given data set.

By Hrithik S

Jul 6, 2020

Very nicely designed course and it also progresses very well. If higher mathematics would be involved in it, the course has the ability to replace many college's statistical inference's classes.

By Prakhar P

Jan 21, 2019

The concepts are explained in a very simple and effective manner with the help of a case study. Background knowledge of R will be very handy if one wants to cover the topics at a faster rate.

By PAUL M

Dec 13, 2017

Very well taught. Student given an opportunity to explore and search for ways to solve problems by themselves. Professor (mentor) and other students always ready to help should you get stuck!

By Arnold T

Aug 31, 2016

The professor is one of the best instructers I've seen. I've struggled to understand these concepts before but this course just set everything straight. Lots of content to practice with too.

By synat K

Jun 22, 2022

Excellent course and specialization. I have learnt a lot. Could you also add generalize linear regressoin including logistic, poisson, negative bionomial and survival analysis. Thanks,