The virtual course "Inferential Statistics - Virtual Course - Coursera", is a course with different contents and that offers video classes of Approx. 17 hours to complete. Explore its essential features, and click the orange button to get detailed information on the Coursera e-Learning platform
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 values eg report the results of your analysis in a way that is interpretable to clients or the public.
Using numerous data examples, you will learn to report quantity estimates in a way that expresses the uncertainty of the quantity of interest.
You will be guided through the installation and use of R and RStudio (free statistical software), and will use this software for lab exercises and a capstone project.
The course introduces practical tools for performing data analysis and explores the fundamental concepts needed to interpret and report results for categorical and numerical data.
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Duke University
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