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Bayesian Statistics: From Concept to Data Analysis 

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  • Offered byCoursera
  • Public/Government Institute

Bayesian Statistics: From Concept to Data Analysis
 at 
Coursera 
Overview

Duration

10 hours

Total fee

Free

Mode of learning

Online

Difficulty level

Intermediate

Official Website

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Credential

Certificate

Bayesian Statistics: From Concept to Data Analysis
Table of contents
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Bayesian Statistics: From Concept to Data Analysis
 at 
Coursera 
Highlights

  • Enroll for free
  • Pay for Certification Examination
  • Offered By University of California, Santa Cruz
  • 15% individuals got a tangible career benefit from this course
  • SKILLS YOU WILL GAIN: Statistics, Bayesian Statistics, Bayesian Inference, R Programming
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Bayesian Statistics: From Concept to Data Analysis
 at 
Coursera 
Course details

Skills you will learn
ExcelData ModelingRData ScienceAccountingData analysisStatistics
What are the course deliverables?
  • Completion of this course will give you an understanding of the concepts of the Bayesian approach, understanding the key differences between Bayesian and Frequentist approaches, and the ability to do basic data analyses.
More about this course
  • This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. In particular, the Bayesian approach allows for better accounting of uncertainty, results that have more intuitive and interpretable meaning, and more explicit statements of assumptions. This course combines lecture videos, computer demonstrations, readings, exercises, and discussion boards to create an active learning experience. For computing, you have the choice of using Microsoft Excel or the open-source, 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, understanding the key differences between Bayesian and Frequentist approaches, and the ability to do basic data analyses.
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Bayesian Statistics: From Concept to Data Analysis
 at 
Coursera 
Curriculum

Probability and Bayes' Theorem

Statistical Inference

Priors and Models for Discrete Data

Models for Continuous Data

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