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The Series Finale of Online Education: Coursera Acquires Udemy

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Probability Density Functions

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Master probability density functions, random variables, and statistical distributions through practical examples and numerical problems. Learn from MIT, IIT, and expert instructors on YouTube, with applications in wireless communications, particle filtering, and data analysis using tools like Julia and statistical software.

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NPTEL-NOC IITM
Numerical Examples on Probability Density Function

Explore practical numerical examples that demonstrate the application and understanding of probability density functions in statistical analysis.
- YouTube
- 23 minutes
- On-Demand
- Free Video
AnalystPrep
Random Variables - FRM Part 1 2025 Book 2 Chapter 2

Master probability theory fundamentals including mass functions, expectations, moments, and quantile functions for FRM Part 1 exam success.
- YouTube
- 45 minutes
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AnalystPrep
Random Variables - FRM Part 1 2025 Book 2 Chapter 2

Master probability theory fundamentals including mass functions, expectations, moments, and quantile-based estimators for FRM Part 1 exam preparation.
- YouTube
- 45 minutes
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NPTEL-NOC IITM
Numerical Examples on Joint Probability Density Functions

Explore numerical examples that demonstrate joint probability density functions and their applications in statistical analysis.
- YouTube
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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
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Particle Filters (and Navigation)

Learn to develop and implement particle filters for nonlinear state estimation, focusing on Monte-Carlo integration, importance sampling, and resampling techniques. Apply these skills to solve indoor navigation problems.
- Coursera
- 21 hours 55 minutes
- On-Demand
- Paid Course
Univariate continuous distribution theory
2 ratings at OpenLearn

This free course looks at a number of the basic properties of statistical models. Section 1 is concerned with the distributions of continuous random variables which are described by their ...
- OpenLearn
- 10 hours
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IIT Delhi; NPTEL
Advanced Probability Theory

Explore probability theory, from axioms to distributions, generating functions, and limit theorems. Develop skills in analyzing random variables and their properties for advanced statistical applications.
- Swayam
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NPTEL; IIT Kanpur
Probability and Random Variables - Processes for Wireless Communications
1 review

Explore probability and random processes in wireless communications, covering axioms, conditional probability, random variables, and applications in fading channels and array processing.
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The Organic Chemistry Tutor
Normal Distribution & Probability Problems

Comprehensive introduction to normal distribution and probability, covering calculation methods, practice problems, and key concepts like the 68-95-99.7 rule for a solid understanding of the topic.
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CodeEmporium
Probability Theory for Machine Learning

Master probability theory fundamentals for ML: random variables, distributions, PMFs, PDFs, and likelihood estimation in under 3 hours.
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MIT RES.6-012 Introduction to Probability, Spring 2018

Comprehensive introduction to probability theory, covering key concepts, tools, and applications. Explores discrete and continuous probability, random variables, inference, and stochastic processes through lectures and examples.
- YouTube
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Coding Train
Pi Revealed in a Pile of Toothpicks
1 review

Discover how dropping toothpicks can approximate pi in this coding simulation. Learn about Buffon's Needle problem, probability density functions, and implement the experiment using p5.js.
- YouTube
- 25 minutes
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- Free Video
From Coin Flips to Clinical Trials - Introduction to Probability - Medical Software Course

Discover probability fundamentals for medical software development, covering deterministic vs stochastic systems, PDFs, CDFs, and applications in signal detection and clinical trials.
- YouTube
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Professor Dave Explains
Wavefunction Properties, Normalization, and Expectation Values

Explore quantum mechanics through wavefunctions, normalization, and expectation values. Learn about Hilbert spaces, bra-ket notation, and the superposition principle to gain a deeper understanding of quantum systems.
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