Probability

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Statistics for Data Science Essentials (Coursera) Coursera
University of Pennsylvania

Statistics for Data Science Essentials (Coursera)

Dive into the world of data science with our 'Statistics for Data Science Essentials' course. This beginner-friendly program will guide you through the basics of discrete math and probability, equipping you with essential tools like the central limit theorem and confidence intervals. Perfect for those looking to build a strong foundation in statistical analysis.

Oct 19th 2026
4 Weeks
How Science Turns Data Into Knowledge (Coursera) Coursera
University of Michigan

How Science Turns Data Into Knowledge (Coursera)

Dive into 'How Science Turns Data Into Knowledge' and transform raw data into meaningful insights. This course will equip you with the skills to critically assess scientific studies, recognize statistical significance, and effectively communicate research findings. Whether you're a student, professional, or enthusiast, this course offers invaluable tools for navigating the world of science.

Oct 19th 2026
4 Weeks
How to Describe Data (Coursera) Coursera
University of Michigan

How to Describe Data (Coursera)

Discover 'How to Describe Data', an introductory course designed for those new to data analysis. This course will equip you with the skills needed to critically evaluate statistical information found in headlines, advertisements, research, and more. Explore how data helps us make sense of the world and learn the basics of discussing and presenting various types of data.

Oct 19th 2026
4 Weeks
Mathematical Biostatistics Boot Camp 1 (Coursera) Coursera
Johns Hopkins University

Mathematical Biostatistics Boot Camp 1 (Coursera)

Discover the essential probability and statistical principles employed in basic data analysis through our beginner-friendly Mathematical Biostatistics Boot Camp 1. Designed for those with a strong foundation in calculus, this course offers an introductory approach to these critical concepts. A bit of linear algebra and programming knowledge will enhance your learning experience but are not prerequisites.

Oct 12th 2026
4 Weeks
Mathematical Biostatistics Boot Camp 2 (Coursera) Coursera
Johns Hopkins University

Mathematical Biostatistics Boot Camp 2 (Coursera)

Dive into the world of biostatistics with 'Mathematical Biostatistics Boot Camp 2'. This course is designed to equip you with essential skills in data analysis and statistical inference, specifically focusing on one and two independent samples. Whether you're a healthcare professional, researcher, or student, this program will enhance your understanding of key concepts that are crucial for making informed decisions based on data.

Oct 12th 2026
4 Weeks
Statistical Inference (Coursera) Coursera
Johns Hopkins University

Statistical Inference (Coursera)

Discover the secrets to making informed decisions based on data with our Statistical Inference course. Designed for those who want to understand how to draw reliable conclusions from their findings, this course covers a wide range of techniques and theories essential for effective analysis. From statistical modeling to data-oriented strategies, you'll gain valuable skills in interpreting and utilizing your research results.

Oct 12th 2026
4 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.

Oct 12th 2026
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.

Oct 12th 2026
5-12 Weeks