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Learner Reviews & Feedback for Inferential Statistics by Duke University
2,746 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
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!
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!!!
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476 - 481 of 481 Reviews for Inferential Statistics
By vivek d
•Apr 29, 2021
will do it later , right too complicated
By Muneera M
•Nov 6, 2021
please tel me how to enroll for free
By SachinVargheseBiju
•Jul 18, 2020
very irritating
By Deleted A
•Apr 21, 2021
putang ina
By farzad s
•Jul 25, 2019
awful!!
By Raul R
•Dec 9, 2019
pesimo