Free Online Statistics Courses & MOOCs

Coursera

The Hong Kong University of Science and Technology - HKUST

Python and Statistics for Financial Analysis (Coursera)

Economics & Finance Business

Dive into the world of finance with our Python and Statistics for Financial Analysis course, where you'll learn essential coding techniques and statistical principles tailored specifically for analyzing stock markets and other financial datasets. This course equips you with the tools needed to make informed decisions in the financial sector using Python's powerful data analysis capabilities.

Sep 7th 2026

4 Weeks

Python Statistics Inference

Coursera

University of London

Probability and Statistics: To p or not to p? (Coursera)

Statistics & Data Analysis Data Science

In an unpredictable world, making decisions can be daunting. This course, 'Probability and Statistics: To p or not to p?', equips you with the tools to understand risk, probability, and statistical analysis, empowering you to make informed choices in your personal and professional life. From identifying 'black swan' events to understanding the odds of everyday decisions, this course is designed for those who want to navigate uncertainty with confidence.

Sep 7th 2026

5-12 Weeks

Statistics Probability Decision Making

Coursera

Eindhoven University of Technology

Improving Your Statistical Questions (Coursera)

Statistics & Data Analysis Data Science

Discover the secrets to asking better statistical questions in empirical research with our expert-led course. Master the skills needed to design compelling studies, challenge assumptions, and improve research practices for more interesting and impactful findings.

Sep 7th 2026

5-12 Weeks

Statistics Statistical Inference Meta-Analysis

Coursera

Imperial College London

Mathematics for Machine Learning: PCA (Coursera)

Data Science

Dive into the essential mathematics behind one of the most popular dimensionality reduction techniques in machine learning: Principal Component Analysis (PCA). This comprehensive course is designed for those with an intermediate understanding of statistics and linear algebra, aiming to equip you with the skills needed to apply PCA effectively in your data science projects. By the end of this course, you'll have a solid grasp on how to minimize reconstruction error and extract meaningful patterns from high-dimensional datasets.

Sep 7th 2026

4 Weeks

Statistics Analysis Machine Learning

Coursera

Imperial College London

Introduction to Statistics & Data Analysis in Public Health (Coursera)

Health & Society Statistics & Data Analysis

Discover the essential elements of statistical analysis and data interpretation tailored specifically for public health professionals. This course provides a solid foundation in understanding key concepts such as types of variables, common distributions, and hypothesis testing. By the end of this program, you'll be able to analyze new datasets, identify their main characteristics, perform basic analyses, and formulate and test hypotheses based on means and proportions.

Sep 7th 2026

4 Weeks

Health Statistics Data Analysis

Coursera

Arizona State University

Factorial and Fractional Factorial Designs (Coursera)

Data Science

Explore the world of multifactor experiments with our introductory course on Factorial and Fractional Factorial Designs. Designed for those in engineering, science, and business, this course teaches you how to effectively design experiments where multiple factors are varied simultaneously. Master the art of analyzing data using ANOVA and unlock the potential to optimize processes and drive innovation.

Sep 7th 2026

4 Weeks

Statistics Probability ANOVA

Coursera

Arizona State University

Random Models, Nested and Split-plot Designs (Coursera)

Data Science

Dive into the world of Random Models, Nested and Split-Plot Designs with our expert-led online course. Gain a deep understanding of designing and analyzing experiments where factors are chosen at random, including nested factor studies and split-plot designs. Learn modern methods for estimating variability components crucial for assessing measurement systems' capability.

Sep 7th 2026

3 Weeks

Statistics Analysis Probability

Coursera

Johns Hopkins University

Summary Statistics in Public Health (Coursera)

Health & Society

Dive into the world of Biostatistics with our comprehensive course on Summary Statistics in Public Health. Master the application of statistical measurement methods essential for interpreting research findings and evidence in public health. Gain insights into unlocking the potential of gathered data and learn to present scientific literature effectively.

Sep 7th 2026

4 Weeks

Statistics Biostatistics Public Health

Coursera

Johns Hopkins University

Hypothesis Testing in Public Health (Coursera)

Health & Society

Dive into the world of Biostatistics and enhance your ability to analyze public health research data effectively. This course focuses on evaluating sample variability and applying statistical hypothesis testing methods, equipping you with the tools needed to make informed decisions in public health.

Sep 7th 2026

4 Weeks

Statistics Biostatistics Public Health