10 Best Bayesian Statistics Courses and Certifications Online

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Close up iPhone showing Udemy application and laptop with notebookThere are thousands of online courses and classes that will help you improve your Bayesian Statistics skills and earn your Bayesian Statistics certificate.

In this article, our experts have assembled a curated list of the 10 Best of the Best Bayesian Statistics courses, tutorials, training programs, classes and certifications that are offered online right now.

We have included just those courses that fulfill our high-quality standards. We have actually put a great deal of effort and time into collecting these all for you. These courses are suitable for all levels, beginners, intermediate students, and experts.

Here’s a look at these courses and what they have to offer for you!

10 Best Bayesian Statistics Courses and Certifications Online

1. Bayesian Machine Learning in Python: A/B Testing by Lazy Programmer Inc. Udemy Course Our Best Pick

“Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More”

As of right now, more than 31314+ people have enrolled in this course and there are over 5517+ reviews.

Course Content
Introduction and Outline
The High-Level Picture
Bayes Rule and Probability Review
Traditional A/B Testing
Bayesian A/B Testing
Bayesian A/B Testing Extension
Practice Makes Perfect
Setting Up Your Environment (FAQ by Student Request)
Extra Help With Python Coding for Beginners (FAQ by Student Request)
Effective Learning Strategies for Machine Learning (FAQ by Student Request)
Appendix / FAQ Finale

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2. Bayesian Computational Analyses with R by “Geoffrey Hubona, Ph.D.” Udemy Course

Learn the concepts and practical side of using the Bayesian approach to estimate likely event outcomes.

As of right now, more than 3553+ people have enrolled in this course and there are over 311+ reviews.

Course Content
Introduction to Bayesian Course and to R Software
Introduction to Bayesian Thinking
Single Parameter Bayesian Models
Conjugate Mixtures
Multi-Parameter Bayesian Models
Bayesian Computation
Rejection and Importance Sampling
Comparing Bayesian Models

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3. Bayesian Statistics by Dr. Philipp Loick Udemy Course

“Bayes Theorem, Bayesian networks, Bayesian sampling methods, Bayesian inference, machine learning and much more”

As of right now, more than 3005+ people have enrolled in this course and there are over 319+ reviews.

Course Content
Introduction
Bayes Theorem
Absolute & Conditional Independence
Bayesian networks & d separation
Enumeration & Elimination
Miniproject – overarching problem
Sampling methods
Bayesian inference
Continuous Bayesian Statistics
Bayesian statistics & machine learning

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4. Introduction to Monte Carlo Methods by Jonathan Navarrete Udemy Course

“Statistical Computation, MCMC and Bayesian Statistics”

As of right now, more than 1006+ people have enrolled in this course and there are over 114+ reviews.

Course Content
Introduction
Generating Random Variables
Monte Carlo Integration
Variance Estimation and Acceleration
Optimization
Expectation Maximization
MCMC and Metropolis Hastings
Gibbs Samplers

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5. A Comprehensive Guide to Bayesian Statistics by Twinkle Sethi Udemy Course

“Bayesian Inference, Prior & Posterior Distn, Bayesian Interval Estimation, Bayesian Hypothesis Testing & Decision Theory”

As of right now, more than 404+ people have enrolled in this course and there are over 99+ reviews.

Course Content
Introduction
Fundamentals of Bayesian Statistics
Prior & Posterior Distribution with Numerical Problems
Interval Estimation in Bayesian Statistics
Bayesian Hypothesis Testing: Bayes Factor
Bayesian Decision Theory
Conclusion

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6. Probabilistic Programming with Python and Julia by “Bert Gollnick, Sebastian Kaus” Udemy Course

Introduction and simple examples to start into probabilistic programming

As of right now, more than 139+ people have enrolled in this course and there are over 24+ reviews.

Course Content
Introduction
Samplers
Workspace Preparation
Gaussian Mixture Models
Bayesian Linear Regression
Bayesian Logistic Regression
Bonus

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7. Probabilistic Programming with STAN by Omid Rezania Udemy Course

Parametric Bayesian Methods

As of right now, more than 112+ people have enrolled in this course and there are over 23+ reviews.

Course Content
“Introduction
Getting Started, Seriously !
Polynomials in STAN
Model Convergence Diagnosis
Posterior Predictive Checks
Visualization and Plot of the Fit
Probabilistic Multi_Variable Regression Modelling using STAN
Prediction and Forecasting in STAN
Hierarchical Models in STAN”

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8. Bayesian Modelling with Regression ( From A to Z ) with R by Omid Rezania Udemy Course

Start and Finish your project in Bayesian

As of right now, more than 67+ people have enrolled in this course and there are over 12+ reviews.

Course Content
You wonder who I am ? why are you here ? where would this journey take you ?
Let`s do some warm_up and stretches
Theories Blended with application
Final Message

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9. Hierarchical Bayesian Methods for Alzheimer`s Disease by Omid Rezania Udemy Course

From Model Development to Model Execution

As of right now, more than 50+ people have enrolled in this course and there are over 2+ reviews.

Course Content
Introduction
How to get the data for Alzheimer`s Disease
Data Exploration & Data Knowledge Discovery
Fixed Effect Model ( Bayesian & Non_Bayesian )
Hierarchical Bayesian Models with STAN – Alzheimer`s Disease Case Study
Adding Another Level to the existing Hierarchical Model
Multi_Levels Strategy

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10. Naïve Bayes Classifier: A pure statistical approach to ML by Tidor-Vlad Pricope Udemy Course

Learn how Statistics helps in developing Machine Learning models.

As of right now, more than 24+ people have enrolled in this course and there are over 2+ reviews.

Course Content
Introduction
Theoretical Background
Implementing in Code
Conclusion

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Here are some frequently asked questions about learning Bayesian Statistics

How Long Does It Take to Learn Bayesian Statistics?

The answer to the question “How long does it ttake to learn Bayesian Statistics” is … it depends. Everyone has different requirements, and everyone is operating in different circumstances, so the answer for someone might be completely different than for somebody else.

Think about these questions: What are you trying to Learn Bayesian Statistics for? Where is your beginning point? Are you a newbie or do you have experience with Bayesian Statistics? How much can you practice? 1 hour each day? 40 hours per week? Take a look at this course about Bayesian Statistics.

Is Bayesian Statistics Easy Or Hard to Learn?

No, learning Bayesian Statistics isn’t hard for most people. Check this course on how to Learn Bayesian Statistics in no time!

How to Learn Bayesian Statistics Fast?

The fastest method to Learn Bayesian Statistics is to first get this Bayesian Statistics course, then practice whatever you learn whenever you can. Even if its just 15 minutes a day of practice. Consistency is key.

Where to Learn Bayesian Statistics?

If you want to explore and learn Bayesian Statistics, then Udemy provides you the best platform to learn the Bayesian Statistics. Check this course on how to Learn Bayesian Statistics in no time!