Statistics & Probability Courses and Certifications

Basic Statistics using R

Beginner-friendly statistics through hands-on analysis in RKWard’s graphical interface, with no prior mathematics or statistics required.

• Swayam
• Self-Paced
• Free Online Course

Statistical Data Analysis for Scientists and Engineers

Extend your knowledge and skills from univariate and bivariate statistical analysis to multivariate methodology and data analysis.

• edX
• 12 weeks, 5-7 hours a week
• Self-Paced
• Free Online Course (Audit)

Engineering Probability and Statistics Part 1

Build a foundation in engineering statistics and probability: exploratory data analysis, Bayes' theorem, counting principles, binomial and Poisson distributions, continuous distributions, and joint distributions with covariance.

• Coursera
• 7 weeks, 2 hours a week
• Self-Paced
• Paid Course

Engineering Probability and Statistics Part 2

Apply statistical inference to engineering data: build confidence intervals with z- and t-distributions, run one- and two-sample hypothesis tests, and perform one-way ANOVA with Tukey post-hoc tests.

• Coursera
• 7 weeks, 2 hours a week
• Self-Paced
• Paid Course

Learn Statistics with Ease

Learn descriptive statistics, time series and statistical index methods, sampling distributions, confidence intervals, hypothesis tests, and regression, applying them to economic and business datasets.

• XuetangX
• Self-Paced
• Free Online Course

Banaras Hindu University

Basic Statistics using R (BlueSky Statistics)

Learn basic statistics through hands-on data analysis with BlueSky Statistics, covering sampling, inference, hypothesis testing, regression, correlation, and report preparation.

• Swayam
• 8 weeks
• Available until Oct 12, 2026
• Free Online Course

London School of Economics and Political Science Career Certificate

Statistics Fundamentals

Master statistics fundamentals and build your quantitative skillset for progression in high-growth careers, or to use as step towards further study at undergraduate level.

• edX
• 21 weeks, 1-15 hours a week
• Self-Paced
• $896.00
• 5 courses

Statistics and Introductory Data Analysis

An introductory statistics course uses Belt and Road Initiative case studies and real-world data to develop practical descriptive and inferential analysis skills.

• XuetangX
• Self-Paced
• Free Online Course

University of Sunderland

Sta(r)tistics: Statistics for everyone (HE)

Learn statistics without maths: work through step-by-step exercises on data created in the laboratory and field, building up to advanced statistical analysis.

• Canvas Network
• Self-Paced
• Free Online Course

Business Statistics

Learn to collect, summarize, model, and interpret data using probability, hypothesis tests, ANOVA, and regression for business decisions.

• Swayam
• 12 weeks
• Available until Oct 31, 2026
• Free Online Course

Statistical and Machine Learning Methods: Basics and Applications

Learn how probability distributions, random variables, and conditional relationships support data-driven engineering solutions alongside introductory machine-learning models.

• Swayam
• Available until Oct 9, 2026
• Free Online Course

Statistics

The world we live in is full of data that comes from everywhere around us. The data themselves are just noise and confusion. To make sense of data, to extract the information hidden in it, we need a powerful branch of science---STATISTICS.

• XuetangX
• Self-Paced
• Free Online Course

概率论与数理统计

An introduction to probability models and mathematical statistics, from random variables and limit theorems to estimation, confidence intervals, and hypothesis testing.

• XuetangX
• Self-Paced
• Free Online Course

Economic Statistics: Measuring China’ s Development

Learn to measure China’s economic development with statistical methods, official data, and micro-surveys, from descriptive summaries through inference and regression.

• XuetangX
• Self-Paced
• Free Online Course

Applied Statistics

An applied statistics foundation covering data organization, probability, sampling, confidence intervals, and simple linear regression through explanations, exercises, and cases.

• XuetangX
• Self-Paced
• Free Online Course