Probability Distributions Courses and Certifications

jbstatistics

Continuous Probability Distributions

Explore continuous probability distributions, including uniform, normal, chi-square, t, and F. Learn to calculate probabilities, percentiles, means, and variances using integration techniques.

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

Probability Distributions, Including Normal

Explore random variables and probability distributions, including binomial, Poisson, and normal, with practical examples and Excel illustrations for real-life modeling.

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

Probability Distributions - Mean, Variance, MGF Derivation

Comprehensive video series on deriving mean, variance, and moment generating functions for various probability distributions, covering normal, binomial, Poisson, and more.

• YouTube
• 8 hours
• On-Demand
• Free Video

365 Data Science

Probability Distributions

Learn key probability distributions including discrete uniform, binomial, Poisson, normal, and chi-squared. Gain essential statistical knowledge for data science applications.

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

Data Analytics for Lean Six Sigma

3501 ratings at Coursera

Aprenda técnicas de análise de dados para projetos Lean Six Sigma, incluindo visualização, distribuições de probabilidade e testes estatísticos usando Minitab, com exemplos práticos.

• Coursera
• 11 hours 22 minutes
• On-Demand
• Paid Course

Statistics for Data Analysis Using R

2632 ratings at Udemy

Learn Programming in R & R Studio • Descriptive, Inferential Statistics • Plots for Data Visualization • Data Science

• Udemy
• 12 hours 26 minutes
• On-Demand
• Paid Course

Certified Quality Engineer Training

2514 ratings at Udemy

Comprehensive Certified Quality Engineer (CQE) Exam Preparation Course (Latest 2022 Body of Knowledge) + 894 Questions

• Udemy
• 1 day 13 hours 41 minutes
• On-Demand
• Paid Course

Introduction to Probability and Statistics

1737 ratings at Udemy

Master fundamental probability concepts, data analysis techniques, and statistical inference methods including binomial experiments, confidence intervals, and hypothesis testing.

• Udemy
• 8 hours 30 minutes
• On-Demand
• Paid Course

Statistics for Data Analysis Using Python

1527 ratings at Udemy

Learn Python from Basics • Descriptive, Inferential Statistics • Plots for Data Visualization • Data Science

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

Introduction to Reliability, Maintainability & Availability

1267 ratings at Udemy

A solid foundation for Project Managers & Systems Engineers

• Udemy
• 7 hours 14 minutes
• On-Demand
• Paid Course

New York Institute of Finance

Introduction to Risk Management

844 ratings at Coursera

Learn to identify, measure, and manage various business and financial risks, exploring risk modeling techniques and regulatory structures to enhance organizational risk management.

• Coursera
• 16 hours 19 minutes
• On-Demand
• Paid Course

What are the Chances? Probability and Uncertainty in Statistics

18 ratings at Coursera

Explore probability, uncertainty, and statistical significance in data analysis. Learn to interpret findings, conduct hypothesis tests, and understand regression analysis for informed decision-making.

• Coursera
• 10 hours 16 minutes
• On-Demand
• Paid Course

Random Walks

5 reviews

The goal of this tutorial is to outline some elementary, but beautiful aspects of random walks.

• Complexity Explorer
• 1 hour
• On-Demand
• Free Online Course

Foundations of Probability and Random Variables

Master fundamental probability concepts and random variable analysis while gaining practical R programming skills for data science and statistical modeling applications.

• Coursera
• 2 days 1 hour 8 minutes
• On-Demand
• Paid Course

Microcredential

Statistical Methods for Computer Science

Master advanced probability and statistical modeling techniques for data analysis, from fundamental concepts to computational methods, using R programming for real-world applications.

• Coursera
• 12 weeks, 5 hours a week
• On-Demand
• Paid Course
• 3 courses