Bayes Theorem Courses and Certifications

Great Learning

Role of Mathematics in Data Science and How to Learn - Data Science

Explore the essential mathematical concepts for data science, including statistics, probability, and normal distribution, with practical examples and problem-solving exercises.

• YouTube
• 1 hour
• On-Demand
• Free Video

UofU Data Science

Bayes Rule and Its Applications in Machine Learning - Lecture 5

Master Bayes' Rule fundamentals through practical examples and discover its crucial applications in machine learning for calculating model probabilities from data.

• YouTube
• 1 hour 18 minutes
• On-Demand
• Free Video

Steve Brunton

Bayes' Theorem for Drug Testing and Screening Analysis

Explore Bayes' theorem through practical drug testing scenarios, learning how to calculate conditional probabilities and understand sensitivity versus specificity in medical screening.

• YouTube
• 13 minutes
• On-Demand
• Free Video

Steve Brunton

Bayes' Theorem - Understanding Posterior, Prior, and Updates in Probability

Discover the fundamental concepts of Bayes' Theorem through clear explanations and practical examples, including its application in cancer screening and modern machine learning approaches.

• YouTube
• 18 minutes
• On-Demand
• Free Video

Bayesian Data Analysis in Python

19 ratings at DataCamp

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Foundations of Probability and Random Variables

Master fundamental probability concepts and random variable analysis while gaining practical R programming skills for data science and statistical modeling applications.

• Coursera
• 2 days 1 hour 8 minutes
• On-Demand
• Free Online Course (Audit)

The Open University

Bayesian statistics

6 ratings at OpenLearn

This free course is an introduction to Bayesian statistics. Section 1 discusses several ways of estimating probabilities. Section 2 reviews ideas of conditional probabilities and introduces Bayes’ ...

• OpenLearn
• 12 hours
• On-Demand
• Free Certificate

Computational Probability and Inference

3 reviews

Learn fundamentals of probabilistic analysis and inference. Build computer programs that reason with uncertainty and make predictions. Tackle machine learning problems, from recommending movies to spam filtering to robot navigation.

• edX
• 12 weeks, 4-6 hours a week
• On-Demand
• Free Online Course (Audit)

Introduction to Bayesian Statistics for Data Science

Explore the theoretical foundations of Bayesian statistics and apply them to data science problems, covering probability theory, Bayes' theorem, prior distributions, practical applications, and ethical considerations.

• Coursera
• 1 day 13 hours 28 minutes
• On-Demand
• Free Online Course (Audit)

Level 3 Intelligence Analyst Certification

1598 ratings at Udemy

Enhance predictive intelligence skills using critical thinking, probability trees, utility matrices, and Bayesian analysis with Excel for forecasting and preventing surprises.

• Udemy
• 2 hours 8 minutes
• On-Demand
• Paid Course

Introduction to Bayesian Statistics

621 ratings at Udemy

Bayes' Theorem and Bayesian statistics from scratch - a beginner's guide.

• Udemy
• 1 hour 19 minutes
• On-Demand
• Paid Course

Bayesian Statistics

598 ratings at Udemy

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

• Udemy
• 4 hours 34 minutes
• On-Demand
• Paid Course

IIT Madras;  NPTEL

Introduction to probability and Statistics

Explore fundamental concepts of data analysis, probability, and distributions in this foundational course, preparing you for advanced statistical studies.

• Swayam
• 4 weeks
• On-Demand
• Free Online Course

Statistics and Hypothesis Testing for Data science

431 ratings at Udemy

"Mastering Data Analysis and Making Informed Decisions with Statistical Hypothesis Testing in Data Science".

• Udemy
• 4 hours 16 minutes
• On-Demand
• Paid Course

Foundations of Statistical Learning & Algorithms

Master fundamental mathematical concepts for machine learning through linear algebra, probability theory, and optimization techniques, focusing on practical applications and model evaluation methods.

• Coursera
• 21 hours 22 minutes
• On-Demand
• Free Online Course (Audit)