The virtual course "Bayesian Statistics: from concept to data analysis - Virtual Course - Coursera", is a course with different contents and that offers video classes of Approx. 12 hours to complete. Explore its essential features, and click the orange button to get detailed information on the Coursera e-Learning platform
This course introduces the Bayesian approach to statistics, beginning with the concept of probability and moving on to data analysis.
We will learn about the philosophy of the Bayesian approach and how to implement it for common data types.
We will compare the Bayesian approach to the more commonly taught frequentist approach and look at some of the benefits of the Bayesian approach.
In particular, the Bayesian approach allows for better uncertainty accounting, results that have more intuitive and interpretable meaning, and more explicit assumption statements.
This course combines video lectures, computer demonstrations, readings, exercises, and discussion forums to create an active learning experience.
For computing, you have the option of using Microsoft Excel or the open source and freely available statistical package R, with equivalent content for both options.
The lectures provide some of the basic mathematical development, as well as explanations of philosophy and interpretation.
Completion of this course will give you an understanding of the concepts of the Bayesian approach, an understanding of the key differences between the Bayesian and frequentist approaches, and the ability to perform basic data analysis.
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University of California at Santa Cruz
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