Free online courses in Statistics

Free online courses for statistical analysis and probability

Build quantitative literacy with free online courses designed for beginners, students, data professionals, researchers, and anyone seeking practical knowledge of statistical methods. Study essential concepts such as data collection, sampling, populations, variables, frequency distributions, measures of central tendency, variance, standard deviation, probability, correlation, and statistical inference. The courses are free, feature exercises for knowledge reinforcement, and include free certification after completion.

Develop essential data analysis skills

Explore educational content covering descriptive and inferential statistics, probability distributions, confidence intervals, hypothesis testing, regression, analysis of variance, experimental design, and Bayesian reasoning. Exercises provide opportunities to practice calculations, interpret tables and graphs, evaluate statistical evidence, and select appropriate analytical techniques. These competencies support academic research, business intelligence, economics, science, machine learning, and evidence-based decision-making.

Choose a course for your learning goals

• Statistics introduces important principles for organizing, summarizing, and interpreting quantitative information.
• Statistics Course for Beginners offers an accessible starting point for learners developing foundational mathematical and analytical skills.
• Statistics for Applications connects statistical theory with practical problem-solving and real-world datasets.
• Statistics for Data Science supports the study of data exploration, modeling, prediction, and interpretation.
• Applied Statistics focuses on using analytical procedures to investigate questions and draw informed conclusions.
• Bayesian statistics: a comprehensive course examines prior information, likelihood, posterior distributions, and probabilistic inference.

Learners can progress from basic terminology to more advanced procedures at their own pace. Course options also address probability and distributions, ANOVA, regression, statistical power, applications, and data science. This variety makes the collection useful for exam preparation, professional development, research support, or independent study.

Explore related learning paths

For specialized study, visit Statistics for Data Science to strengthen the mathematical foundation used in analytics and machine learning. Learners who need an introductory pathway can explore Statistics basics for foundational concepts, vocabulary, and methods.

Access the free courses in the Cursa app

To access the courses, exercises, and free certification, install the Cursa app on your mobile device. Android users can get it from Google Play at Download for Android. iPhone users can install it from the App Store at Download for iOS / iPhone. Begin studying online and develop the statistical reasoning required to understand data, assess uncertainty, communicate results, and make informed decisions.