Probability Distributions Courses and Certifications

Managing, Describing, and Analyzing Data

34 ratings at Coursera

Learn to classify, visualize, and analyze data using R. Master descriptive statistics, probability distributions, sampling techniques, and hypothesis testing for informed decision-making and statistical inference.

• Coursera
• 17 hours 49 minutes
• On-Demand
• Paid Course

Managing Uncertainty in Marketing Analytics

68 ratings at Coursera

Explore methods to incorporate uncertainty in marketing decisions, including Monte Carlo simulations and probability distributions, to anticipate outcomes and make informed choices.

• Coursera
• 11 hours 51 minutes
• On-Demand
• Paid Course

Quality Engineering Statistics (2026)

229 ratings at Udemy

Quality Engineering Stats: SPC, DOE, Regression, Hypothesis Testing and Process Capability with Practical Excel Examples

• Udemy
• 16 hours 31 minutes
• On-Demand
• Paid Course

Lean Six Sigma Black Belt for IT Professionals

209 ratings at Udemy

Black Belt certification course exclusively designed for professionals who are working in IT and Technology companies!

• Udemy
• 11 hours 4 minutes
• On-Demand
• Paid Course

Statistics and Data Analysis with R

Master statistical analysis using RStudio through hands-on practice with probability, hypothesis testing, regression, and ANOVA. Learn to manipulate data, create visualizations, and perform complex calculations using R programming.

• Coursera
• 3 days 23 hours 28 minutes
• On-Demand
• Paid Course

Introduction to @RISK. Monte Carlo Simulation addin on Excel

170 ratings at Udemy

Through a simple profit and loss forecast, the new user is introduced to @RISK, Excel's Monte Carlo simulation add-in.

• Udemy
• 1 hour 21 minutes
• On-Demand
• Paid Course

AI Workflow: Data Analysis and Hypothesis Testing

127 ratings at Coursera

Exploratory data analysis, visualization, and hypothesis testing for a streaming media company. Learn estimation techniques, probability distributions, and null hypothesis significance tests through hands-on case studies.

• Coursera
• 10 hours 44 minutes
• On-Demand
• Paid Course

Probability and Statistics 1: The Complete Guide

102 ratings at Udemy

Learn everything fast through concise yet contented lectures

• Udemy
• 6 hours 2 minutes
• On-Demand
• Paid Course

Financial Maths Bootcamp - The basics of financial analysis

98 ratings at Udemy

Finance fundamentals. Maths techniques for understanding financial markets. Analysts/ bankers/investors- it starts here

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

Introduction to Statistics (English Edition)

60 ratings at Udemy

This course is an introduction to statistics, covering probability distributions, estimation, and hypothesis testing.

• Udemy
• 4 hours 2 minutes
• On-Demand
• Paid Course

The Measure Phase for the 6 σ Black Belt

58 ratings at Coursera

Learn principles of Lean Sigma, DMAIC process, and DFSS. Focus on Measure Phase topics including data collection, measurement systems, statistics, and process capability.

• Coursera
• 22 hours 47 minutes
• On-Demand
• Paid Course

Applied Statistics for Data Analytics

57 ratings at Coursera

Gain insights into foundational statistics, from descriptive analysis to hypothesis testing, while mastering practical techniques for extracting meaningful insights from data through hands-on examples.

• Coursera
• 1 day 10 hours 46 minutes
• On-Demand
• Paid Course

Probability / Stats: The Foundations of Machine Learning

57 ratings at Udemy

Real-world, code-oriented learning for programmers to use prob/stats in all of CS, Data Science and Machine Learning

• Udemy
• 6 hours 42 minutes
• On-Demand
• Paid Course

Statistics for Six Sigma and Business with ChatGPT

18 ratings at Udemy

Data Cleaning and Statistics for Lean Six Sigma Projects, Quality Improvement, and Business Insights Using AI.

• Udemy
• 4 hours 48 minutes
• On-Demand
• Paid Course

Foundations for Machine Learning

Master essential probability distributions and Bayesian vs frequentist perspectives to build a strong mathematical foundation for machine learning and data science applications.

• Coursera
• 21 hours 28 minutes
• On-Demand
• Paid Course