Statistics & Probability Courses and Certifications

Microsoft Excel: Essential Statistics for Data Analysis

1638 ratings at Udemy

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

• Udemy
• 7 hours 52 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

Probability and Statistics for AI in Arabic

26 ratings at Udemy

Learn Probability&Statistics, an essential language and set of tools for understanding data, randomness,and uncertainty.

• Udemy
• 12 hours 1 minute
• On-Demand
• Paid Course

Statistics & Data Analytics For Data Science And Business

1083 ratings at Udemy

A Beginner's Guide To Statistics & Data Analytics For Data Science and Business Decisions (+Ebook & Templates)

• Udemy
• 2 hours 33 minutes
• On-Demand
• Paid Course

JMP Training for Statistics & Data Visualization

1041 ratings at Udemy

Learn Statistics, Analytics & Data Visualization with JMP Statistical Software

• Udemy
• 3 hours 22 minutes
• On-Demand
• Paid Course

Introduction to Probability Management

6 ratings at edX

Probability management is the discipline of communicating and calculating uncertainties as auditable data arrays called Stochastic Information Packets or SIPs. This course provides a basic introduction to the subject.

• edX
• 10 weeks, 1-5 hours a week
• On-Demand
• Free Online Course (Audit)

Introduction to Artificial Intelligence

31 reviews

Online Introduction to Artificial Intelligence is based on Stanford CS221, Introduction to Artificial Intelligence.

• Udacity
• 16 weeks, 6 hours a week
• On-Demand
• Free Online Course

Logistic Regression in Python

922 ratings at Udemy

Logistic regression in Python tutorial for beginners. You can do Predictive modeling using Python after this course.

• Udemy
• 7 hours 40 minutes
• On-Demand
• Paid Course

Statistics for Data Science Essentials

12 ratings at Coursera

Enhance probability skills and learn data interpretation using central limit theorem and confidence intervals. Complete weekly math assignments to reinforce statistical concepts.

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

The Power of Statistics

878 ratings at Coursera

Explore statistical concepts and techniques for data analysis, including descriptive and inferential statistics, probability, sampling, confidence intervals, and hypothesis testing using Python.

• Coursera
• 1 day 7 hours 10 minutes
• On-Demand
• Paid Course

Eindhoven University of Technology

Improving your statistical inferences

801 ratings at Coursera

Enhance statistical inference skills: interpret p-values, design experiments, control false positives, determine sample sizes, and apply Open Science principles for robust empirical research.

• Coursera
• 1 day 3 hours 36 minutes
• On-Demand
• Paid Course

Statistics with Python Using NumPy, Pandas, and SciPy

Master statistical techniques with Python, using NumPy, Pandas, and SciPy for data science problems. Explore vector operations, probability, data distributions, linear relationships, and statistical inference.

• Coursera
• 19 hours 31 minutes
• On-Demand
• Paid Course

Reliability Engineering Statistics (2026)

803 ratings at Udemy

Reliability Engineering Statistics: Probability, SPC, Hypothesis Testing, Distributions and Data Analysis Essentials

• Udemy
• 9 hours 7 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

Advanced Probability and Statistical Methods

Master advanced probability concepts through joint distributions, statistical testing, and Markov chains, building expertise in data analysis and statistical inference for real-world applications.

• Coursera
• 1 day 23 hours 46 minutes
• On-Demand
• Paid Course