Probability Distributions Courses and Certifications

PyCon US

A Careful Walk Through Probability Distributions, Using Python

Explore probability distributions using Python, demystifying key concepts like sampling, joint, conditional, and marginal distributions for a solid foundation in Bayesian statistics.

• YouTube
• 19 minutes
• On-Demand
• Conference Talk

AnalystPrep

Discrete Mixtures and Parameter Mixing for Probability Distributions - SOA Exam P

Master probability concepts for discrete mixtures through practical insurance and manufacturing examples with focus on joint, conditional, and marginal distributions.

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

AnalystPrep

Poisson Distributions for SOA Exam P - Probability and Univariate Random Variables

Master Poisson distributions through practical examples involving claim frequencies, vehicle arrivals, and probability calculations - perfect for SOA Exam P preparation.

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

Let's Code Physics

Quantum and Classical Probability Distributions - Computational Quantum Mechanics Lecture 10

Explore the transition from quantum to classical mechanics through probability distributions, using computer animations to visualize quantum behaviors in VPython.

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

Paul G. Allen School

Replacing Probability Distributions in Security Games via Hellinger Distance

Explore statistical distance in security games, focusing on Hellinger distance as an alternative to max-log for bit security frameworks and leftover hash lemma applications.

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

ICTP-SAIFR

Learning Probability Distributions of Neuronal Activity Patterns - Max Entropy Models

Explore max entropy models for understanding neuronal activity patterns and probability distributions in biological systems.

• YouTube
• 1 hour 27 minutes
• On-Demand
• Free Video

Mr. Robinson's Virtual Math Classroom

Binomial Distributions and Probability Applications - Lecture and Problem Set

Master probability distributions through real-world examples like Steph Curry's free throws and multiple-choice exams, using tables, histograms, and graphing calculators to analyze binomial outcomes.

• YouTube
• 1 hour 50 minutes
• On-Demand
• Free Video

UofU Data Science

Exponential Family and Information Theory in Probability Distributions - Lecture 8

Dive into advanced statistical concepts including exponential families, multivariable Gaussian distributions, and information theory fundamentals for data science applications.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Some Novel Kernel-Based Divergences Between Probability Distributions

Explore novel kernel-based divergences between probability distributions, focusing on the Kullback-Leibler divergence with kernel covariance operators (KKL) and its regularized variant for distributions with disjoint supports.

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

Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Classical Phase Space Representations of Density Operators with Classical Probability Distributions

Explore quantum mechanics through classical phase space representations of density operators, examining Wigner and Gabor transforms to create true probability distributions for fermionic systems.

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

Probability for Actuaries: Introduction to Discrete Distributions

Explore data analysis, probability concepts, and discrete probability models with actuarial applications, enhancing your ability to manage risk and model uncertain events.

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

Probability for Actuaries: Continuous Distributions

Master probability distributions, multivariate analysis, and key theorems essential for actuarial work, focusing on modeling uncertain events and managing risk through statistical approaches.

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

Introduction to Probability and Statistics for Machine Learning

Master essential probability and statistics concepts crucial for machine learning, from basic probability and descriptive statistics to hypothesis testing and linear regression analysis.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Statistical Analysis with R

Master statistical concepts through hands-on practice with R, covering descriptive statistics, probability distributions, data visualization, and hypothesis testing for real-world data analysis.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Introduction to Statistics with SciPy

Explore statistical analysis in Python using SciPy's statistics module, from descriptive statistics and probability distributions to hypothesis testing, confidence intervals, and regression.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate