Discrete Random Variables Courses and Certifications

NPTEL-NOC IITM

Transformation of Discrete Random Variables

Explore the mathematical principles and techniques involved in transforming discrete random variables in probability theory.

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

Probability in R. Discrete Random Variables

256 ratings at Udemy

Infermath links mathematical theory with programming application to give high level understanding of quantitative fields

• Udemy
• 1 hour 54 minutes
• On-Demand
• Free Online Course

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)

Eddie Woo

Discrete Random Variables - Introduction

Introduction to discrete random variables, exploring their definition, properties, and applications in probability theory and statistics.

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

Professor Knudson

Discrete Random Variables

Explore discrete random variables, including binomial, hypergeometric, and Poisson distributions. Learn probability mass functions, expected values, and variance in this comprehensive introduction.

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

Probabilistic Systems Analysis and Applied Probability

This course introduces students to the modeling, quantification, and analysis of uncertainty.

• MIT OpenCourseWare
• 32 hours
• On-Demand
• Free Video

Probability and Statistics II: Random Variables – Great Expectations to Bell Curves

Explore discrete and continuous random variables, their properties, and applications. Learn about joint variables, independence, and correlation. Practice with R for statistical analysis.

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

Probability Foundations for Data Science and AI

284 ratings at Coursera

Explore probability foundations, random variables, and the Central Limit Theorem. Gain essential skills for data analysis and statistical inference in this comprehensive introduction to probability theory.

• Coursera
• 1 day 18 hours 21 minutes
• On-Demand
• Paid Course

Probability Theory

12 ratings at edX

This course provides an introduction to probability theory. You will encounter discrete and continuous random variables and learn in which situations they appear, what their properties are and how they interact.

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

MathTrackX: Probability

Understand probability and how it manifests in the world around us.

• edX
• 4 weeks, 3-6 hours a week
• On-Demand
• Free Online Course (Audit)

Introduction to Probability

Master probability theory fundamentals from MIT, covering random variables, Bayesian inference, statistical analysis, and Markov chains for data analysis applications.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

Modelling and estimation

2 ratings at OpenLearn

This free course is concerned with modelling and estimation and looks in particular at the binomial distribution. Section 1 starts by defining probability, introduces relevant notation and briefly ...

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

UofU Data Science

Probability and Statistics: Joint Discrete Random Variables and Distributions - Lecture 9

Master probability concepts from exponential distribution to joint discrete random variables, including marginal and conditional probability calculations for comprehensive statistical analysis.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

UofU Data Science

Discrete Random Variables: Bernoulli, Binomial, and Geometric - Lecture 6B

Master discrete probability concepts through Bernoulli, Binomial, and Geometric random variables, including factorial calculations and cumulative distribution functions.

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

UofU Data Science

Discrete Random Variables: Probability Density Functions and Dice Examples - Lecture 6

Master discrete random variables, probability density functions (PDFs), and cumulative density functions (CDFs) through practical examples using dice calculations and statistical analysis.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video