Bayes Theorem Courses and Certifications

Bayesian Statistics

658 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

Statistics and Hypothesis Testing for Data science

642 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

Probability for Machine Learning

Master probability fundamentals and their direct applications in machine learning algorithms, from Bayes' Theorem to model evaluation metrics like ROC curves.

• edX
• 4 weeks, 2-5 hours a week
• On-Demand
• Free Online Course (Audit)

Probability: Basic Concepts & Discrete Random Variables

Learn fundamental concepts of mathematical probability to prepare for a career in the growing field of information and data science.

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

Statistics Foundations: Probability

2637 ratings at LinkedIn Learning

Learn to understand your data in beginner-friendly lessons, using probability. Topics include permutations, percentiles, how to use probability trees, and much more.

• LinkedIn Learning
• 1 hour 10 minutes
• On-Demand
• Free Trial Available

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 29 minutes
• On-Demand
• Paid Course

Master Statistics for Data Science and Business Analysis

170 ratings at Udemy

Master foundational statistical concepts and their practical applications in data science and business analysis, from central tendency to probability theorems and data classification.

• Udemy
• 7 hours 48 minutes
• On-Demand
• Paid Course

Learn Data Science Machine Learning and Neural Networks

65 ratings at Udemy

Learn Machine Learning, Data Science, Neural Networks and Artificial Intelligence with Python and libraries

• Udemy
• 12 hours 58 minutes
• On-Demand
• Paid Course

A-Level Maths: Statistics (Year 2)

58 ratings at Udemy

Master the statistics content from A-level maths (second year), and practice on real past paper exam questions.

• Udemy
• 6 hours 11 minutes
• On-Demand
• Paid Course

Packt

Statistics & Mathematics for Data Science & Data Analytics

11 ratings at Coursera

Master essential statistical and mathematical concepts for data science, from descriptive statistics and probability theory to regression analysis and hypothesis testing, with practical applications for real-world data problems.

• Coursera
• 15 hours 7 minutes
• On-Demand
• Paid Course

Foundations for Machine Learning

Master essential probability distributions and Bayesian vs frequentist perspectives to build a strong mathematical foundation for machine learning and data science applications.

• Coursera
• 21 hours 28 minutes
• On-Demand
• Paid Course

Probability Theory and Regression for Predictive Analytics

Master probability theory and regression techniques to build predictive models using Python, covering Bayes' Theorem, distributions, OLS, and advanced regression methods.

• Coursera
• 12 hours
• 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
• Paid Course

Birla Institute Of Technology And Science–Pilani (BITS–Pilani)

Probability and Statistics

Dive into statistical concepts, probability theory, and data analysis techniques to enhance decision-making skills and master real-world applications in various fields.

• Coursera
• 1 day 5 hours
• On-Demand
• Paid Course

Stanford CS109 - Introduction to Probability for Computer Scientists 2022

Master probability theory fundamentals through combinatorics, random variables, distributions, and machine learning applications in this comprehensive Stanford computer science program.

• YouTube
• 1 day 11 hours 25 minutes
• On-Demand
• Free Video