Conditional Probability Courses and Certifications

New Syllabus PD: Conditional Probability

This course introduces Conditional Probability, which is section MA-S2 from the New Stage 6 Advanced Mathematics syllabus.

• OpenLearning
• Self-Paced
• Paid Course

Conditional Probability - Lecture 19

Explore conditional probability concepts and learn how set theory tools apply to probability calculations in this MIT mathematics lecture.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

UofU Data Science

Conditional Probability - Lecture 3

Master conditional probability concepts through practical examples and theoretical foundations, enhancing your understanding of statistical dependencies and probabilistic reasoning.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Conditional Probability Mass Function

Explore the concept of conditional probability mass function and its applications in statistical analysis.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Probabilistic Graphical Models 1: Representation

18 ratings

Explore probabilistic graphical models, including Bayesian networks and Markov networks, to encode complex probability distributions for applications like medical diagnosis and speech recognition.

• Coursera
• 67 hours
• Self-Paced
• Paid Course

Mathematical Biostatistics Boot Camp 1

17 ratings

Intense immersion into mathematical biostatistics, covering probability, expectations, distributions, confidence intervals, and more. Ideal for students with college-level math and calculus knowledge.

• Coursera
• 13 hours
• Self-Paced
• Paid Course

Bayesian Statistics

12 ratings

Learn to apply Bayesian methods for statistical inference, decision-making, and regression. Update prior probabilities, make optimal decisions, and implement model averaging using R software.

• Coursera
• 1 day 10 hours 53 minutes
• Self-Paced
• Paid Course

Introduction to Probability and Data with R

6 ratings

Learn sampling, data exploration, and basic probability using R. Gain practical skills in statistical analysis through hands-on exercises and a final project.

• Coursera
• 14 hours 35 minutes
• Self-Paced
• Paid Course

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
• Self-Paced
• Free Video

Steve Brunton

Conditional Probabilities in Data Analysis and Statistics

Master conditional probability concepts through clear examples and practical applications, exploring fundamental principles and calculations for statistical analysis.

• YouTube
• 13 minutes
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video

Wrath of Math

Elchanan Mossel's Dice Paradox - Expected Value in Conditional Probability

Delve into a fascinating probability paradox about dice throws, exploring counterintuitive mathematical concepts and solving Elchanan Mossel's challenging puzzle through clear explanations.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Insights into Mathematics

Probability Spaces, Events, and Conditional Probabilities

Explore probability spaces, events, and conditional probabilities. Learn about sample spaces, visualizations, independence, and practical applications using chess board examples.

• YouTube
• 49 minutes
• Self-Paced
• Free Video