Statistics

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Developing Data Products (Coursera) Coursera
Johns Hopkins University

Developing Data Products (Coursera)

Discover how to transform raw data into valuable insights with Coursera's 'Developing Data Products' course. Designed for those who want to create automated analytical tools or enhance data-driven models, this course equips you with essential skills in utilizing Shiny, R packages, and interactive graphics to build impactful data products.

Sep 14th 2026
4 Weeks
Experimentation for Improvement (Coursera) Coursera
McMaster University

Experimentation for Improvement (Coursera)

Dive into 'Experimentation for Improvement' - a transformative course designed to equip you with the tools needed to optimize systems and processes efficiently. By focusing on planning effective experiments that test multiple variables simultaneously, this course aims to help you find the best solutions with minimal effort. Whether you're looking to innovate in your professional life or seeking to enhance community projects, this course will guide you through the process of optimization.

Sep 14th 2026
5-12 Weeks
Math behind Moneyball (Coursera) Coursera
University of Houston System

Math behind Moneyball (Coursera)

Dive into the world of sports analytics with 'Math Behind Moneyball', a comprehensive course that reveals how mathematical principles can transform the way teams select players, strategize games, and achieve success. Whether you're a fan of baseball, football, or basketball, this course will equip you with the tools to understand and apply statistical analysis in sports management.

Sep 14th 2026
5-12 Weeks
Statistics for Genomic Data Science (Coursera) Coursera
Johns Hopkins University

Statistics for Genomic Data Science (Coursera)

Dive into the world of genomics with 'Statistics for Genomic Data Science'. This course, part of Johns Hopkins University's Genomic Big Data Science Specialization, offers an in-depth exploration of the statistical principles that underpin genomic data analysis. Whether you're a budding bioinformatician or looking to enhance your understanding of genetic data science, this course provides essential knowledge and practical skills.

Sep 14th 2026
4 Weeks
Principles of fMRI 1 (Coursera) Coursera
Johns Hopkins University

Principles of fMRI 1 (Coursera)

Explore the world of Functional Magnetic Resonance Imaging (fMRI) in our introductory course designed for psychologists, statisticians, neuroscientists, and other professionals interested in understanding the human mind and brain. Gain insights into MR Physics, K Space, experimental design, data acquisition, analysis, and psychological inference.

Sep 14th 2026
4 Weeks
Predictive Analytics (edX) EdX
Indian Institute of Management, Bangalore,IIMBx

Predictive Analytics (edX)

Dive into the world of Predictive Analytics with edX's expert-led course. Gain a deep understanding of statistical techniques and learn how to harness data to make informed business decisions. Perfect for professionals aiming to refine their pricing strategies, predict customer behavior, and improve product recommendations based on analytics.

Self Paced
5-12 Weeks
Introduction to Probability and Data with R (Coursera) Coursera
Duke University

Introduction to Probability and Data with R (Coursera)

Discover the basics of probability and data analysis with our Introduction to Probability and Data with R course. Gain essential skills in exploring data, understanding different types of sampling methods, and applying Bayes' rule. Enhance your knowledge of numeric summary statistics and basic data visualization techniques using R programming language.

Sep 14th 2026
5-12 Weeks
Bayesian Statistics (Coursera) Coursera
Duke University

Bayesian Statistics (Coursera)

Embark on an enlightening journey into the world of Bayesian Statistics with this engaging Coursera course. Master the art of updating your inferences based on accumulating evidence, learning to transform prior probabilities into insightful posterior probabilities. Delve into the theory and perspective that underpin the Bayesian approach, equipping you with a powerful toolset for data analysis.

Sep 14th 2026
5-12 Weeks