Back to Bayesian Statistics: From Concept to Data Analysis

4.6

stars

2,540 ratings

•

667 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 Artur A B

•Aug 21, 2019

Very useful course, described a basic understanding behind Bayesian theory and sequential updating of posteriors.

By Harsh V D

•Aug 6, 2017

A very well designed and productive course for anyone looking to brush up his/her concepts on Bayesian Statistics

By Andrew N

•Oct 22, 2016

wrote in my comment.

The course is extremely well presented and the difficulty level of the excercises is perfect.

By Stephen H

•Mar 17, 2019

A very nice introduction to Bayesian Statistics in a couple of hours. The course is quite intuitive and concise.

By Erkan

•Dec 17, 2019

A very nice brief overview of the concept. Good for beginners and for people who want to refresh their memory.

By Maojie T

•Dec 2, 2019

A good course, even it's not very deep, it still can teach people something fresh and comprehensive knowledge.

By Adam B

•Jun 4, 2017

Great course as an introduction to Bayesian Statistics. Interesting material and the pace was very reasonable.

By Mrinal

•Aug 4, 2020

Excellent material, examples, and quizzes. Does not trade technicality for practicality, both being abundant.

By NoneLand

•Feb 6, 2018

Very good! Going through this course, one would get basic idea about Bayesian Statistics and conjugate prior.

By Huang h

•May 23, 2017

A Good Introduction to Bayesian Statistics. I always get quick response after I post a question on the forum.

By Satish N

•Aug 23, 2020

Very Good Course. It is decently paced and comprehensive enough to get you started with Bayesian Statistics.

By Soonkyo J

•Feb 18, 2018

The coolest part of this lecture is mathematical explanation of concepts, especially about conjugate priors.

By Gowri T

•Feb 5, 2020

I liked the quizzes, detailed feedback. The lectures were a bit hurried, but a lot of good content in them.

By matthew

•Jul 30, 2017

I strongly recommend this course. Clear structure and insightful questions. Thanks for instructor's inputs.

By Natsuko N

•Jun 30, 2020

I got a lot familiar with Bayesian concepts and how to analyze and interpret the data. Thank you so much!

By KUMAR G

•Feb 11, 2020

This course has well structured content. Quizzes are also designed in sync with the course. Enjoyed it!!!

By Valeth

•Dec 13, 2018

The bite-sized arrangement of individual videos are very conducive for learning and self internalisation.

By Soren J

•Jan 21, 2020

Excellent course. More R examples. Looking forward to see a course on pymc3 or Tensorflow probability.

By Xiao W

•Apr 8, 2019

This is an excellent course but you will need background in calculus and some statistics to begin with

By Edward B

•Nov 24, 2020

Excellent! Clear presentations, very bottom line up front with transparent examples, good course.

By Stephen S

•Jun 9, 2019

I thoroughly enjoyed this course as I found it to have a good mix of background and application.

By Julio C L J

•Jun 12, 2018

It was an excellent course. It´s a very good introduction to the Bayesian approach to inference.

By Sean E

•Mar 12, 2018

Great introduction to Bayesian Statistics with some easy-enough-to-follow mathematical insights.

By Felix S

•Jun 19, 2019

Great intro to Bayesian Statistics if you have some stats background in the frequentist domain.

By Duke W

•Nov 3, 2019

Excellent introduction to basic Bayesian analysis and coverage of conjugate priors/posteriors.

- Finding Purpose & Meaning in Life
- Understanding Medical Research
- Japanese for Beginners
- Introduction to Cloud Computing
- Foundations of Mindfulness
- Fundamentals of Finance
- Machine Learning
- Machine Learning Using Sas Viya
- The Science of Well Being
- Covid-19 Contact Tracing
- AI for Everyone
- Financial Markets
- Introduction to Psychology
- Getting Started with AWS
- International Marketing
- C++
- Predictive Analytics & Data Mining
- UCSD Learning How to Learn
- Michigan Programming for Everybody
- JHU R Programming
- Google CBRS CPI Training

- Natural Language Processing (NLP)
- AI for Medicine
- Good with Words: Writing & Editing
- Infections Disease Modeling
- The Pronounciation of American English
- Software Testing Automation
- Deep Learning
- Python for Everybody
- Data Science
- Business Foundations
- Excel Skills for Business
- Data Science with Python
- Finance for Everyone
- Communication Skills for Engineers
- Sales Training
- Career Brand Management
- Wharton Business Analytics
- Penn Positive Psychology
- Washington Machine Learning
- CalArts Graphic Design

- Professional Certificates
- MasterTrack Certificates
- Google IT Support
- IBM Data Science
- Google Cloud Data Engineering
- IBM Applied AI
- Google Cloud Architecture
- IBM Cybersecurity Analyst
- Google IT Automation with Python
- IBM z/OS Mainframe Practitioner
- UCI Applied Project Management
- Instructional Design Certificate
- Construction Engineering and Management Certificate
- Big Data Certificate
- Machine Learning for Analytics Certificate
- Innovation Management & Entrepreneurship Certificate
- Sustainabaility and Development Certificate
- Social Work Certificate
- AI and Machine Learning Certificate
- Spatial Data Analysis and Visualization Certificate

- Computer Science Degrees
- Business Degrees
- Public Health Degrees
- Data Science Degrees
- Bachelor's Degrees
- Bachelor of Computer Science
- MS Electrical Engineering
- Bachelor Completion Degree
- MS Management
- MS Computer Science
- MPH
- Accounting Master's Degree
- MCIT
- MBA Online
- Master of Applied Data Science
- Global MBA
- Master's of Innovation & Entrepreneurship
- MCS Data Science
- Master's in Computer Science
- Master's in Public Health