Bayes Theorem Courses and Certifications

Bayesian Thinking

7 ratings at Corporate Finance Institute

Bayesian Thinking Course is for data professionals who want to apply an understanding of statistics to solve business problems

• Corporate Finance Institute
• 1 hour 27 minutes
• On-Demand
• Paid Course

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

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

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

Great Learning

Probability and Statistics - Bayes Theorem Probability - Normal Distribution Probability

Probability Theory and Statistics are very essential when it comes to data science or predictive modeling as they form the basis for decision making. Thus it becomes, extremely important for a data scientist to be good with probability.

• YouTube
• 2 hours 28 minutes
• On-Demand
• Free Video

Coding Train

Coding Challenge 187 - Bayes Theorem

Master Bayes' theorem and build a Naive Bayes text classifier in JavaScript with p5.js, implementing word frequency analysis, Laplacian smoothing, and sentiment classification.

• YouTube
• 54 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

Probability

Discover fundamental probability concepts from basic theory to binomial distributions, conditional probability, and Bayes' Rule to enhance data-driven decision making.

• Udacity
• 13 hours
• On-Demand
• Paid Course

NPTEL-NOC IITM

Bayes' Theorem - Probability and Random Variables

Explore the fundamentals of Bayes' Theorem, including measurable functions, random variables, distribution functions, and probability mass functions.

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

Stochastic Maps and Bayes' Theorem

Explore categorical probability theory through diagrammatic representations, focusing on stochastic maps, conditional probabilities, and Bayes' theorem.

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

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)

Level 3 Intelligence Analyst Certification

1784 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

760 ratings at Udemy

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

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

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
• Paid Course