Free Online Statistics Courses & MOOCs

Coursera

University of California, Santa Cruz

Bayesian Statistics: Mixture Models (Coursera)

Statistics & Data Analysis

Dive into the world of Bayesian Statistics with 'Bayesian Statistics: Mixture Models' on Coursera. This comprehensive course is designed to equip you with an in-depth understanding of mixture models, a powerful tool for analyzing complex data structures. Through engaging video lectures, interactive quizzes, and hands-on assignments, you'll explore real-world applications and develop the skills needed to tackle sophisticated statistical problems.

Jun 29th 2026

5-12 Weeks

Statistics Data Analysis Statistical Models

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.

Jun 29th 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.

Jun 29th 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.

Jun 29th 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.

Jun 29th 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.

Jun 29th 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.

Jun 29th 2026

4 Weeks

Statistics Biostatistics Public Health

Coursera

Columbia University

Causal Inference 2 (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of Causal Inference 2, a Coursera course designed to equip you with advanced skills in understanding and analyzing causal relationships using sophisticated statistical methods. This course is perfect for those looking to deepen their knowledge in areas critical to scientific research, healthcare, policy-making, and business strategy.

Jun 29th 2026

5-12 Weeks

Statistics Probability Causal Inference

Coursera

Johns Hopkins University

Data – What It Is, What We Can Do With It (Coursera)

Statistics & Data Analysis Data Science

Unlock the secrets of data analysis with 'Data – What It Is, What We Can Do With It' on Coursera. This course will equip you with essential skills in interpreting descriptive statistics, conducting causal analyses, and creating effective visualizations to derive valuable insights from data. Perfect for beginners looking to understand the basics or professionals aiming to refine their analytical skills.

Jun 29th 2026

4 Weeks

Statistics Data Analysis