Statistics & Probability Courses and Certifications

Introduction to Probability Management

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)

Statistics 110 - Probability

Harvard University offers a comprehensive 27-hour introduction to probability, covering topics like Bayes' Theorem, random variables, univariate and multivariate distributions, limit theorems, and Markov chains.

• YouTube
• 1 day 3 hours
• On-Demand
• Free Online Course

Computational Probability and Inference

3 reviews

Learn fundamentals of probabilistic analysis and inference. Build computer programs that reason with uncertainty and make predictions. Tackle machine learning problems, from recommending movies to spam filtering to robot navigation.

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

Bayesian Networks 3 - Maximum Likelihood - Stanford CS221: AI (Autumn 2019)

Stanford University offers a 1-2 hour study on Bayesian Networks, covering probabilistic inference, learning algorithms, and expectation maximization.

• YouTube
• 1 hour 24 minutes
• On-Demand
• Free Online Course

Bayesian Networks 2 - Forward-Backward - Stanford CS221: AI

Stanford's AI program offers a 1-2 hour study on Bayesian Networks, covering probabilistic inference, Hidden Markov models, and object tracking.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Online Course

Bayesian Networks 1 - Inference - Stanford CS221: AI

Stanford University's 1-2 hour program on Bayesian Networks, covering topics from object tracking to document classification, with practical applications in AI.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Online Course

Data Overload - Making Sense of Statistics in the News, Kristin Sainani

Stanford University offers a short webinar on understanding statistics in news, covering risk ratios, absolute risk difference, and correlated errors, in under an hour.

• YouTube
• 58 minutes
• On-Demand
• Free Online Course

Introduction to Probability and Data with R

6 reviews

Duke University's 8-week course on probability, data exploration, and R software, covering sampling methods, data analysis techniques, and a final project.

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

A Crash Course in Causality: Inferring Causal Effects from Observational Data

532 ratings at Coursera

Learn to infer causal effects from observational data in this 5-week course by the University of Pennsylvania. Master statistical methods and apply them using R software.

• Coursera
• 18 hours 29 minutes
• On-Demand
• Free Online Course (Audit)

Probabilistic Systems Analysis and Applied Probability (Fall 2013)

This course introduces students to the modeling, quantification, and analysis of uncertainty.

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

Hypothesis Testing in Public Health

600 ratings at Coursera

Learn biostatistics and hypothesis testing methods in public health with this 4-week course from Johns Hopkins University. Gain skills in data interpretation and analysis.

• Coursera
• 19 hours 13 minutes
• On-Demand
• Free Online Course (Audit)

Summary Statistics in Public Health

1852 ratings at Coursera

Explore biostatistics in public health with Johns Hopkins University's 4-week course. Learn to interpret data, perform calculations, and understand various statistical methods.

• Coursera
• 15 hours 1 minute
• On-Demand
• Free Online Course (Audit)

Microcredential

Statistics with Python

Learn statistical analysis using Python with this 13-week course from the University of Michigan. Master data design, management, exploration, visualization, and advanced modeling procedures.

• Coursera
• 13 weeks, 4 hours a week
• On-Demand
• Paid Course
• 3 courses

Probabilistic Systems Analysis and Applied Probability (Fall 2010)

A course on the modeling and analysis of random phenomena and processes, including the basics of statistical inference.

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

Microcredential

Advanced Statistics for Data Science

Johns Hopkins University offers a 22-week course on advanced statistics for data science, covering probability, linear models, and biostatistics. Requires basic calculus and linear algebra knowledge.

• Coursera
• 22 weeks, 2 hours a week
• On-Demand
• Paid Course
• 4 courses