10 Best + Free Bayesian Statistics Courses with Certificates

Bayesian Statistics is an approach to data analysis that is entirely based on Baye’s theorem. It offers knowledge about parameters in a statistical model and is updated with the information in observed data. It is widely used in different areas including machine learning, data analysis, sports betting, and more. With that, it is also used by bounty hunters for tracking down shipwrecks full of gold. Below you can find the list of Best + Free Bayesian Statistics Courses with Certificates.

Best + Free Bayesian Statistics Courses with Certificates

Introduction to Bayesian Statistics

• • • Woody Lewenstein via Udemy
    • 6,581+ already enrolled!
    • ★★★★☆ (404 Ratings)

In this beginner-level course, the instructor will give a detailed introduction to Bayesian Statistics.

• The reason why we chose this course is its focus on explaining what probability means and how to distinguish the Bayesian approach from the Frequentist approach.
• This course is for those who are starting their journey in Bayesian Statistics and need to understand it more deeply.

For those looking to enhance their statistical skills, you can learn biostatistics for free through our curated courses.

Bayesian Statistics: From Concept to Data Analysis

• • • University of California via Coursera
    • 140,103+ already enrolled!
    • ★★★★★ (3,069 Ratings)

In this course, you will get a detailed introduction to the Bayesian approach to statistics. Here the instructor will shed light on the concept of probability and move to the analysis of data.

• The reason why we chose this course is its focus on explaining the philosophy of the Bayesian approach in detail. You will also understand how to implement it for common types of data.
• This course is for those who wish to understand all about the Bayesian approach and how it allows for better accounting of uncertainty.

A Comprehensive Guide to Bayesian Statistics

• • • Twinkle Sethi via Udemy
    • 420+ already enrolled!
    • ★★★★☆ (102 Ratings)

In this course, you will get a detailed overview of Statistical Inference. Here the instructor will talk about both Frequentist and Bayesian approaches to Statistical Inference in detail.

• The best thing about this course is its focus on explaining the Bayes Theorem and all its applications in Bayesian Statistics. You will also learn to build a good intuitive understanding of Bayesian Statistics with real-life illustrations.
• This course is for those who wish to master the key concepts of Prior and Posterior distribution and learn to solve exam-style numerical problems of computing Posterior Distribution.

Find out more about where to explore accredited stats courses and boost your statistical knowledge.

Bayesian Statistics: Techniques and Models

• • • University of California via Coursera
    • 52,091+ already enrolled!
    • ★★★★★ (457 Ratings)

In this engaging course, you will get to expand your Bayesian toolbox by learning different computational techniques. Here the instructor will explain in detail the Markov Chain Monte Carlo (MCMC) method.

• The reason why we chose this course is its focus on explaining how to construct, fit, assess, and compare Bayesian Statistical models for answering different scientific questions that involve continuous, binary, and count data.
• This course is for those who wish to understand a few basic modeling techniques that are commonly used by statisticians.

Find out how you can bolster your data science expertise by exploring our curated selection of courses in Statistical Data Science.

Bayesian Machine Learning in Python: A/B Testing

• • • Lazy Programmer Inc. via Udemy
    • 34,929+ already enrolled!
    • ★★★★★ (6,132 Ratings)

Are you interested in learning some of the very best data science, machine learning, and data analytics techniques for marketing, digital, media, and online advertising? If yes then this course is for you.

• The best thing about this course is its focus on explaining how to use adaptive algorithms for improving A/B testing performance. Here you will also understand the difference between Bayesian and Frequentist statistics.
• This course is for those who wish to understand how to apply Bayesian methods to A/B testing.

continue with more Bayesian Statistics Courses with Certificates…

Bayesian Statistics Videos

• • • via LinkedIn Learning

To help learners understand what Bayesian Statistics is and how this approach is used in data analysis, LinkedIn Learning offers different Bayesian Statistics Videos that contain the best learning material. Whether you want to understand what Bayesian Interference is or need an introduction to Bayesian Analysis or even understand the foundations of statistics, LinkedIn Learning has a course for all.

Bayesian Statistics: Mixture Models

• • • University of California via Coursera
    • 7,516+ already enrolled!
    • ★★★★★ (41 Ratings)

In this course, the instructor will help you understand the basic concepts of mixture models in detail.

• The best thing about this course is its focus on explaining all about the maximum likelihood estimation for mixture models.
• This course is for those who wish to understand the applications of mixture models in Bayesian Statistics in detail.

Bayesian Statistics: Generalized Linear Models with R

• • • Andre Marques via Udemy
    • 58+ already enrolled!
    • ★★★★★ (9 Ratings)

This course will explain Bayesian Statistical Modeling with R in detail. Here you will also understand all about the estimated linear regression models for binary and binomial data.

• The reason why we chose this course is its focus on explaining all about model rates and ratios. You will also learn to use discrete and continuous models in detail.
• This course is for those who wish to learn to use the exponential family of distribution in Bayesian Statistics.

Related: Best + Free R Programming Certification & Training Courses

Bayesian Statistics

• • • Duke University via Coursera
    • 72,670+ already enrolled!
    • ★★★★☆ (787 Ratings)

In this intermediate-level course, the instructor will explain how to use Baye’s rule to transform prior probabilities into posterior probabilities.

• The best thing about this course is its focus on explaining how to apply Bayesian methods to several practical problems and show end-to-end Bayesian analysis.
• This course is for those who wish to understand all about Bayesian comparisons of means and proportion and how to apply Bayesian methods to several practical problems.

Advanced Bayesian Statistics Using R

• • • University of Canterbury via edX
    • 60 Hours of effort required!
    • Study Type: Self-paced

In this engaging class, the instructor will explain how to do multivariate analysis within the context of mixed effects linear regression models. Here you will understand the structure, assumptions, diagnostics, and interpretation of Bayesian Statistics in detail.

• The reason why we chose this class is its focus on explaining how Monte Carlo integration works and how it can be implemented in the MCMC Metropolis-Hastings algorithm in R.
• This class is for those who wish to understand the advanced concepts of Bayesian Statistics.