Probability Distributions Courses and Certifications

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
• Self-Paced
• Paid Course

AI Workflow: Data Analysis and Hypothesis Testing

128 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
• Self-Paced
• Paid Course

Introduction to Probability and Statistics

1793 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
• Self-Paced
• Paid Course

Statistics and Data Analysis with Excel: Essentials

84 ratings at Coursera

Master statistical analysis and data interpretation using Excel to transform raw data into meaningful insights for informed decision-making across various industries.

• Coursera
• 11 hours 49 minutes
• Self-Paced
• Paid Course

Microsoft Excel: Essential Statistics for Data Analysis

1666 ratings at Udemy

Learn statistics for data analysis with fun, real-world Excel demos: probability, hypothesis testing, regression & more!

• Udemy
• 7 hours 52 minutes
• Self-Paced
• Paid Course

Math for Data Science Masterclass

1555 ratings at Udemy

Learn about probability, statistics, and more using the mathematics that are foundational to the field of data science.

• Udemy
• 16 hours 7 minutes
• Self-Paced
• Paid Course

Statistics for Data Analysis Using Python

1536 ratings at Udemy

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

• Udemy
• 15 hours 58 minutes
• Self-Paced
• Paid Course

Statistics/Data Analysis with SPSS: Descriptive Statistics

1463 ratings at Udemy

Increase Your Descriptive Data Analytic Skills – Highly Valued And Sought After By Employers

• Udemy
• 3 hours 25 minutes
• Self-Paced
• Paid Course

Applied Statistics for Data Analytics

63 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
• Self-Paced
• Paid Course

The Measure Phase for the 6 σ Black Belt

60 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
• Self-Paced
• Paid Course

Introduction to Reliability, Maintainability & Availability

1287 ratings at Udemy

A solid foundation for Project Managers & Systems Engineers

• Udemy
• 7 hours 14 minutes
• Self-Paced
• Paid Course

Excel Skills for Statistics and Data Analysis: Essentials

Master essential Excel skills for statistical analysis, from descriptive to inferential statistics, transforming data into meaningful insights for better decision-making across various fields.

• Coursera
• 12 hours 9 minutes
• Self-Paced
• Paid Course

EDUCBA

Analyze Financial Data Using Advanced Techniques

16 ratings at Coursera

Master advanced financial analysis by integrating probability, statistics, technical analysis, and macroeconomic frameworks to support data-driven investment and risk assessment decisions.

• Coursera
• 22 hours
• Self-Paced
• Paid Course

EDUCBA

Analyze and Build Trading Systems Using Market Models

13 ratings at Coursera

Discover derivatives pricing, behavioral finance, and statistical analysis to build objective trading systems and models for disciplined market decision-making.

• Coursera
• 10 hours 18 minutes
• Self-Paced
• Paid Course

Packt

Statistics & Mathematics for Data Science & Data Analytics

11 ratings at Coursera

Master essential statistical and mathematical concepts for data science, from descriptive statistics and probability theory to regression analysis and hypothesis testing, with practical applications for real-world data problems.

• Coursera
• 15 hours 7 minutes
• Self-Paced
• Paid Course