Statistics & Probability Courses and Certifications

What are the Chances? Probability and Uncertainty in Statistics

14 ratings at Coursera

Learn to measure and interpret statistical uncertainty with Johns Hopkins University's 4-week course. Master probability rules, hypothesis testing, and regression context.

• Coursera
• 10 hours 31 minutes
• On-Demand
• Free Online Course (Audit)

Statistics for Applications (Fall 2016)

1 review

This course offers an in-depth the theoretical foundations for statistical methods that are useful in many applications.

• MIT OpenCourseWare
• 28 hours
• On-Demand
• Free Online Course

Causal Inference

78 ratings at Coursera

Master causal inference with Columbia University's 6-week course. Learn to distinguish causal relationships, use data collection methods, and apply techniques like machine learning.

• Coursera
• 12 hours 26 minutes
• On-Demand
• Free Online Course (Audit)

Causal Inference 2

14 ratings at Coursera

Master advanced topics in causal inference with Columbia University's 5-week course. Gain insights into mediation, principal stratification, regression discontinuity, and more.

• Coursera
• 5 hours 49 minutes
• On-Demand
• Free Online Course (Audit)

Probability and Statistics: To p or not to p?

1433 ratings at Coursera

Explore decision-making in an uncertain world with this 6-week course from the University of London. Learn to quantify uncertainty, apply descriptive statistics, and test hypotheses.

• Coursera
• 16 hours 15 minutes
• On-Demand
• Free Online Course (Audit)

MIT RES.6-012 Introduction to Probability, Spring 2018

Master probability theory and statistical inference with MIT's 30-hour online program. Learn to analyze data and understand advances in sciences, engineering, and management.

• YouTube
• 1 day 6 hours
• On-Demand
• Free Online Course

Statistics for Business - II

5 reviews

Examine data drawn from allied fields of business such as Finance and HR, and learn how to simulate data to follow a specified distribution.

• edX
• 7 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Statistics: Unlocking the World of Data

2 reviews

Explore key principles of statistics with the University of Edinburgh's 8-week course. Learn to interpret data, understand uncertainty, and perform statistical testing. No prior knowledge required.

• edX
• 8 weeks, 4-6 hours a week
• On-Demand
• Free Online Course (Audit)

Análisis estadístico con Excel

138 reviews

Este curso en línea entrega al estudiante los conocimientos fundamentales de estadística para el análisis de datos, tanto a nivel personal como empresarial.

• edX
• 4 weeks, 3-5 hours a week
• On-Demand
• Free Online Course (Audit)

• Best of All Time

Inferential Statistics

2639 ratings at Coursera

Learn statistical inference methods for numerical and categorical data with Duke University's 5-week course. Gain skills in hypothesis testing, interpreting p-values, and reporting results.

• Coursera
• 16 hours 2 minutes
• On-Demand
• Free Online Course (Audit)

Probability and Statistics I: A Gentle Introduction to Probability

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 a week
• On-Demand
• Free Online Course (Audit)

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

A 4-week course by Georgia Tech exploring properties and applications of random variables, with hands-on experience in the R statistical package.

• edX
• 4 weeks, 6-12 hours a week
• On-Demand
• Free Online Course (Audit)

Probability and Statistics III: A Gentle Introduction to Statistics

Explore basic statistical concepts with Georgia Tech's 4-week course. Learn about probability distributions, descriptive statistics, estimation methods, and sampling distributions.

• edX
• 4 weeks, 6-10 hours a week
• On-Demand
• Free Online Course (Audit)

Probability and Statistics IV: Confidence Intervals and Hypothesis Tests

A 4-week course by Georgia Tech, exploring confidence intervals and hypothesis testing in statistics, requiring 6-10 hours of study per week.

• edX
• 4 weeks, 6-10 hours a week
• On-Demand
• Free Online Course (Audit)

Microcredential

Probability/Random Variables

Dive into probability and random variables with Georgia Tech's 7-week program. Enhance your modeling and analysis skills, explore real-world applications, and learn to use the R statistical package.

• edX
• 7 weeks, 6-11 hours a week
• On-Demand
• $398.00
• 2 courses