Bayesian Statistics: From Concept to Data Analysis
5.0 /5- Offered byCoursera
- Public/Government Institute
Bayesian Statistics: From Concept to Data Analysis at Coursera Overview
Bayesian Statistics: From Concept to Data Analysis
at Coursera
Duration | 10 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Bayesian Statistics: From Concept to Data Analysis
Table of content
- Overview
- Highlights
- Course Details
- Curriculum
- Student Reviews
Bayesian Statistics: From Concept to Data Analysis at Coursera Highlights
Bayesian Statistics: From Concept to Data Analysis
at Coursera
- 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
Bayesian Statistics: From Concept to Data Analysis
at Coursera
Skills you will learn
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.
Bayesian Statistics: From Concept to Data Analysis at Coursera Curriculum
Bayesian Statistics: From Concept to Data Analysis
at Coursera
Probability and Bayes' Theorem
Statistical Inference
Priors and Models for Discrete Data
Models for Continuous Data
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Bayesian Statistics: From Concept to Data Analysis at Coursera Students Ratings & Reviews
Bayesian Statistics: From Concept to Data Analysis
at Coursera
5/5
3 Ratings- 4-53
A
Abhinandan Chatterjee
Bayesian Statistics: From Concept to Data Analysis
Offered by Coursera
5
Other: I was aware at a high level that the Bayesian approach could be applied more naturally. This course made it very approachable. Professor Lee showed us the difficult math (tough integrals) behind it and how we can apply the results of that math in Excel or R.
Reviewed on 5 Nov 2020Read More
M
Monish Nayar
Bayesian Statistics: From Concept to Data Analysis
Offered by Coursera
5
Other: I found this course to be really useful. It did progress through the math a bit quickly for my liking, but it was paced very appropriately and the discussion forums were helpful. Excellent examples are contained and I loved how both R and Excel modules were leveraged. Looking forward to seeing more Bayesian courses on Coursera in the future.
Reviewed on 16 Oct 2020Read More
R
Ravina Vashistha
Bayesian Statistics: From Concept to Data Analysis
Offered by Coursera
5
Other: The learning experience was great from attempting quizes to submitting assignments everything was very good.
Reviewed on 2 Jun 2020Read More
View All 3 Reviews
Bayesian Statistics: From Concept to Data Analysis
at Coursera
Student Forum
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