Get started with custom lists to organize and share courses.

Sign up

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Bayesian Statistics: From Concept to Data Analysis

University of California, Santa Cruz via Coursera

7 Reviews 2368 students interested
  • Provider Coursera
  • Subject Data Analysis
  • Cost Free Online Course (Audit)
  • Session Upcoming
  • Language English
  • Certificate Paid Certificate Available
  • Start Date
  • Duration 4 weeks long
  • Learn more about MOOCs

Taken this course? Share your experience with other students. Write review

Overview

Sign up to Coursera courses for free Learn how

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.

Taught by

Herbert Lee

Help Center

Most commonly asked questions about Coursera Coursera

Reviews for Coursera's Bayesian Statistics: From Concept to Data Analysis
4.3 Based on 7 reviews

  • 5 stars 43%
  • 4 stars 43%
  • 3 star 14%
  • 2 star 0%
  • 1 star 0%

Did you take this course? Share your experience with other students.

Write a review
  • 1
Jon I
4.0 2 years ago
by Jon completed this course, spending 8 hours a week on it and found the course difficulty to be medium.
An interesting introduction to Bayesian statistics and inference. Not for people with no statistical background, as it does assume you are comfortable with various distributions, expectations, variances, etc. and the 'standard' frequentist worldview (including inferential procedures such as linear regression). The material was well explained, and generally well examined, with a mixture of multiple choice understanding questions, and numeric response tasks which also serve as a very basic introduction to R (or Excel if you are crazy). It was good to see the instructor realising that a light shirt was causing problems and switching to a darker one as the videos went on!
Was this review helpful to you? Yes
Shubham A
5.0 a year ago
by Shubham completed this course, spending 4 hours a week on it and found the course difficulty to be medium.
I strongly recommend this course to those who are interested in learning theoretical concepts that build Machine Learning statistics especially Bayesian. The course content was well organized and the professor presented the concepts in a very engaging way. Relevant and appropriate examples and in-video quizzes were very helpful in understanding the theory.
Was this review helpful to you? Yes
Jonathan B
3.0 3 months ago
Jonathan completed this course.
I wanted to love this class, but I thought it was just okay. The material is important, but the delivery of the lessons always felt rushed, robbing the course of its potential impact. Dr. Lee has a tendency to speed through his explanations without providing enough context before moving on to the next point.

He also has a bad habit of whipping through mathematical explanations without stopping for a breath. The overall tempo of each lesson felt a bit haphazard, making the exploration of the courses concepts less than what it should have been. The quizzes then overcompensated…
Was this review helpful to you? Yes
Anonymous
5.0 2 years ago
Anonymous completed this course.
A really great instructor. The subject is hard but the course is well structured and clearly explained. My only advice is to revise the coding component (some Python lab would be great)
Was this review helpful to you? Yes
Macemers M
5.0 2 years ago
by Macemers completed this course.
Was this review helpful to you? Yes
Bishal L
4.0 2 years ago
by Bishal completed this course.
Was this review helpful to you? Yes
Poppo P
4.0 2 years ago
by Poppo completed this course.
Was this review helpful to you? Yes
  • 1

Class Central

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free

Never stop learning Never Stop Learning!

Get personalized course recommendations, track subjects and courses with reminders, and more.