Back to Bayesian Statistics: From Concept to Data Analysis

stars

2,745 ratings

•

716 reviews

This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data. We will compare the Bayesian approach to the more commonly-taught Frequentist approach, and see some of the benefits of the Bayesian approach. 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....

GS

Aug 31, 2017

Good intro to Bayesian Statistics. Covers the basic concepts. Workload is reasonable and quizzes/exercises are helpful. Could include more exercises and additional backgroung/future reading materials.

JB

Oct 16, 2020

An excellent course with some good hands on exercises in both R and excel. Not for the faint of heart mathematically speaking, assumes a competent understanding of statistics and probability going in

Filter by:

By chenshuai

•Aug 26, 2020

very helpful courses. The assignment is decent and the professor explanation is very clear. I would like it to provide a bit hint for the honor part too, since there is no answers for the honor part for now.

By Padmeswar D

•Jul 9, 2020

I liked the course because it is meticulously designed to help build on concepts in Bayesian Statistical Analysis. The Quiz's really helped me grasp the concepts as they fully supplement the lecture classes.

By Vimos T

•Aug 24, 2016

This course makes a lot of details clear to me. Thanks professor for this great course.

I still have one question, is the professor writing on a transparent board in inverse pattern? The technique is amazing!

By Khoa M

•Dec 17, 2020

Good introduction to Bayesian Statistics. Although I still need more time to realize how to apply the concepts into real-life situations, it definitely helps if I encounter this subject again in the future.

By Tobias .

•May 1, 2020

Very interesting, mathematically driven course that dives right into the mathematical concepts that are necessary to understand the concepts of Bayesian Statistics without going too deep into the calculus.

By Paul J

•Apr 6, 2020

A very challenging course, but very well thought out and designed. Note - the videos were very well done, but in some instances, I found using zstatistics on youtube.com to be a good supplemental source.

By Naehyun P

•Jan 15, 2020

Very helpful for understanding the basic concepts of not only Bayesian statistics but also the basic knowledge of statistics, which will be very helpful for understanding other subjects using statistics.

By Medha A

•May 6, 2020

I thoroughly enjoyed the course. Honest feedback would be that the course should have included a coding assignment with a particular template. But all apart, it was a great learning experience. Thanks!!

By Fabian S

•Feb 17, 2019

A great introduction to Bayesian Statistics. For some of the Quiz questions, it would have been helpful to get an error warning in case one might had accidentally used a comma instead of a dot notation.

By David K

•Mar 19, 2021

I realy helped to understand the concept of Bayesian Statistics and how to apply it.

I liked the approach from flipping a coin and learn and verify the steps to continous distributions and R simulations

By Raja F Z

•May 24, 2020

instructor style and way of delivering lectures is very interactive and made this course very easy to understand, wit even a little knowledge of probability. Tank you very much instructor and coursera.

By annalise s

•Mar 25, 2020

it is a wonderful course. In this course, I have learned some basic theories and concepts for bayesian statistics and also do some applications with R programming. Highly Recommended as a intro courses

By Alex T

•Feb 19, 2020

Excellent first course in Bayesian statistics - definitely not too basic, but just at the right level that you can understand everything in the course without having studied Bayesian statistics before.

By Jorge V C

•Jun 1, 2017

A very complete and easy to follow course. It's very helpful for everyone who needs to work with data and has to take decisions about that. It also has examples in R and Excel. I strongly recommend it.

By Alexandre H d S

•Jul 13, 2020

It's an amazing course, I strongly recommend. It was like a complementary course for the Data Analysis course of my university, giving a wide explanation over bayesian analysis. I'm glad to finish it.

By James B

•Oct 16, 2020

An excellent course with some good hands on exercises in both R and excel. Not for the faint of heart mathematically speaking, assumes a competent understanding of statistics and probability going in

By John H

•Jun 27, 2018

Great course. The content moves at a nice pace and the videos are really good to follow. The Quizzes are also set at a good level. You can't pass this course unless you have understood the material.

By Jose P C

•Nov 7, 2017

I've learned how to process data and analyze data from studies, that's a wonderful ability I think everybody should try to learn in order to not get manipulated by the media. Thanks for this course!

By KAUSHIK B

•Nov 14, 2020

A very good introduction to Bayesian Statistics.Couple of optional R modules of data analysis could have been introduced . However, prerequisites are essential in order to appreciate the course.

By Yiwen

•Jan 25, 2019

The course if very informative but some previous knowledge and understanding of basic statistics (e.g., distributions) is recommended to fully grasp the concepts delivered through the course.

By Jonathan H

•Oct 6, 2017

This course is well prepared.

The videos are of high quality and the lessons are easy to follow.

I enjoyed the Honors content as well, that gives an extra challenge to those who want it.

Thanks!

By Ana E R O

•Jul 21, 2020

Prof. Lee's approach is simple and intuitive. There are exercises throughout the videos, which help you make sure you and the professor are on the same track. I would certainly recommend it!

By Sudhir K P

•Nov 16, 2017

This is first time exposure to bayesian statistics and I must say it has given me a different perspective to analyzing data especially when dealing with unpredictable data or unknown data.

By Gabriel

•Jan 9, 2017

Very nice introduction to bayesian concepts and rationale. With this course I could understand why should I spend more time learning this technique (which I will definetly do on sequence).

By Burak U

•May 25, 2020

This was an invaluable learning experience. I was delighted to go through this learning.

I strongly suggest this course to anyone who wants to learn or refresh their statistics knowledge.

- Google Data Analyst
- Google Project Management
- Google UX Design
- Google IT Support
- IBM Data Science
- IBM Data Analyst
- IBM Data Analytics with Excel and R
- IBM Cybersecurity Analyst
- Facebook Social Media Marketing
- IBM Full Stack Cloud Developer
- Salesforce Sales Development Representative
- Salesforce Sales Operations
- Soporte de Tecnologías de la Información de Google
- Certificado profesional de Suporte em TI do Google
- Google IT Automation with Python
- DeepLearning.AI Tensorflow
- Popular Cybersecurity Certifications
- Popular SQL Certifications
- Popular IT Certifications
- See all certificates

- Skills for Data Science Teams
- Data Driven Decision Making
- Software Engineering Skills
- Soft Skills for Engineering Teams
- Management Skills
- Marketing Skills
- Skills for Sales Teams
- Product Manager Skills
- Skills for Finance
- Android Development Projects
- TensorFlow and Keras Projects
- Python for Everybody
- Deep Learning
- Excel Skills for Business
- Business Foundations
- Machine Learning
- AWS Fundamentals
- Data Engineering Foundations
- Data Analyst Skills
- Skills for UX Designers

- MasterTrack® Certificates
- Professional Certificates
- University Certificates
- MBA & Business Degrees
- Data Science Degrees
- Computer Science Degrees
- Data Analytics Degrees
- Public Health Degrees
- Social Sciences Degrees
- Management Degrees
- Degrees from Top European Universities
- Master's Degrees
- Bachelor's Degrees
- Degrees with a Performance Pathway
- Bsc Courses
- What is a Bachelor's Degree?
- How Long Does a Master's Degree Take?
- Is an Online MBA Worth It?
- 7 Ways to Pay for Graduate School
- See all degrees