Courses from 1000+ universities
Two years after its first major layoff round, Coursera announces another, impacting 10% of its workforce.
600 Free Google Certifications
Computer Science
Artificial Intelligence
ChatGPT
The Art of Structural Engineering: Vaults
Working with Translation: Theory and Practice
Inglés básico: conversacional y networking
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Explore fundamental concepts of combinatorics, including ordered sequences, permutations, and probability, with applications to real-world scenarios like poker hands.
Explore moment generating functions in-depth with Professor Knudson's comprehensive 8-part video series, covering theory and applications in probability and statistics.
Explore continuous random variables, probability density functions, and key distributions in probability theory, enhancing your understanding of statistical concepts and applications.
Explore discrete random variables, including binomial, hypergeometric, and Poisson distributions. Learn probability mass functions, expected values, and variance in this comprehensive introduction.
Explore fundamental concepts of probability, including conditional probability, total probability law, Bayes' theorem, and independent events in this comprehensive introduction.
Master advanced calculus techniques including integration methods, series convergence, and Taylor series applications.
Comprehensive overview of linear regression, covering simple and multiple regression, matrix notation, estimator properties, inference, and model evaluation metrics.
Explore cutting-edge statistical applications in health, astrophysics, and healthcare equity through expert-led seminars on football injuries, dark matter detection, and racial disparities in prostate cancer outcomes.
Learn statistical analysis techniques with Anova, covering one-way and two-way methods, calculations, notations, and test statistics for effective data interpretation.
Learn randomization-based hypothesis testing in under an hour with Professor Christina Knudson.
Learn essential concepts and techniques for statistical hypothesis testing, including p-values, errors, and various test types for means and proportions.
Learn to create and interpret bootstrap confidence intervals for various statistical measures, enhancing your data analysis skills.
Explore point estimation, maximum likelihood, and distribution for regression coefficients, focusing on ordinary least squares and slope estimator analysis.
Explore maximum likelihood estimation through examples of binomial, Poisson, and uniform distributions, enhancing statistical analysis skills.
Explore linear transformations, sums, and monotone functions in random variables, enhancing your understanding of probability theory and statistical analysis.
Get personalized course recommendations, track subjects and courses with reminders, and more.