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Learn Statistics & Probability, earn certificates with free online courses from Harvard, Stanford and other top universities around the world. Read reviews to decide if a class is right for you.
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.
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.
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.
Stanford University offers a 1-2 hour study on Bayesian Networks, covering probabilistic inference, learning algorithms, and expectation maximization.
Stanford's AI program offers a 1-2 hour study on Bayesian Networks, covering probabilistic inference, Hidden Markov models, and object tracking.
Stanford University's 1-2 hour program on Bayesian Networks, covering topics from object tracking to document classification, with practical applications in AI.
Stanford University offers a short webinar on understanding statistics in news, covering risk ratios, absolute risk difference, and correlated errors, in under an hour.
Duke University's 8-week course on probability, data exploration, and R software, covering sampling methods, data analysis techniques, and a final project.
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.
This course introduces students to the modeling, quantification, and analysis of uncertainty.
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.
Explore biostatistics in public health with Johns Hopkins University's 4-week course. Learn to interpret data, perform calculations, and understand various statistical methods.
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.
A course on the modeling and analysis of random phenomena and processes, including the basics of statistical inference.
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.
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