Statistics & Probability Courses and Certifications

Probability - The Science of Uncertainty and Data

34 ratings

Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference -- Part of the MITx MicroMasters program in Statistics and Data Science.

• edX
• 16 weeks, 10-14 hours/week
• Self-Paced
• Free Online Course (Audit)

• Best of All Time

Data Analysis: Basic Probability and Statistics

7 ratings

Increase your quantitative reasoning skills through a deeper understanding of probability and statistics, with the engaging "Fat Chance" approach that's made this course a favorite among learners worldwide.

• edX
• 7 weeks, 3-5 hours/week
• Self-Paced
• Free Online Course (Audit)

Intro to Statistics

39 ratings

Get ready to analyze, visualize, and interpret data! Thought-provoking examples and chances to combine statistics and programming will keep you engaged and challenged.

• Udacity
• 8 weeks
• Self-Paced
• Free Online Course

Probability and Statistics: To p or not to p?

1501 ratings at Coursera

Explore tools for informed decision-making in an uncertain world. Learn probability, statistics, estimation, hypothesis testing, and multivariate applications to enhance lifelong decision-making skills.

• Coursera
• 16 hours 25 minutes
• Self-Paced
• Paid Course

Become a Probability & Statistics Master

14465 ratings at Udemy

Learn everything from Probability & Statistics, then test your knowledge with 600+ practice questions

• Udemy
• 15 hours 12 minutes
• Self-Paced
• Paid Course

Statistical Learning with R

28 ratings

Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in R. Course material updated in 2021 for second edition of the course textbook.

• edX
• 11 weeks, 3-5 hours/week
• Self-Paced
• 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
• Self-Paced
• Free Certificate

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
• Self-Paced
• Paid Course

Probability & Statistics for Machine Learning & Data Science

686 ratings at Coursera

Explore probability, statistics, and data analysis for machine learning. Apply concepts using Python in hands-on exercises. Gain skills in estimation, hypothesis testing, and exploratory data analysis.

• Coursera
• 1 day 9 hours 28 minutes
• Self-Paced
• Paid Course

Career Certificate

Foundations of Probability and Statistics

354 ratings at Coursera

Master probability, statistics, and stochastic processes with direct applications to data science and AI through three comprehensive mathematical foundations.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Basic Statistics

13 ratings

Explore statistical concepts, from descriptive methods to inferential techniques. Learn to calculate, interpret, and apply statistics using real-world examples and free software.

• Coursera
• 17 hours 25 minutes
• Self-Paced
• Paid Course

Probability and Statistics I: A Gentle Introduction to Probability

14 ratings at edX

This course provides an introduction to basic probability concepts. Our emphasis is on applications in science and engineering, with the goal of enhancing modeling and analysis skills for a variety of real-world problems.

• edX
• 3 weeks, 6-10 hours/week
• Self-Paced
• Free Online Course (Audit)

Probability and Statistics II: Random Variables – Great Expectations to Bell Curves

Explore discrete and continuous random variables, their properties, and applications. Learn about joint variables, independence, and correlation. Practice with R for statistical analysis.

• edX
• 4 weeks, 6-12 hours/week
• Self-Paced
• Free Online Course (Audit)

Probability and Statistics III: A Gentle Introduction to Statistics

Explore probability distributions, statistical concepts, and estimation methods. Learn about normal distribution, Central Limit Theorem, and sampling distributions for practical applications in data analysis.

• edX
• 4 weeks, 6-10 hours/week
• Self-Paced
• Free Online Course (Audit)