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Upcoming MOOCs

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.

Jul 6th 2026
4 Weeks
Reproducible Research (Coursera) Coursera
Johns Hopkins University

Reproducible Research (Coursera)

Explore the essential concepts and practical tools of Reproducible Research on Coursera. Master the art of publishing data analyses, ensuring others can verify findings and build upon them. Ideal for researchers, analysts, and anyone working with complex datasets.

Jul 6th 2026
4 Weeks
Exploratory Data Analysis (Coursera) Coursera
Johns Hopkins University

Exploratory Data Analysis (Coursera)

Discover the key methods of Exploratory Data Analysis (EDA) in this insightful online course offered by Coursera. Designed for beginners and professionals alike, this course will equip you with the skills to summarize data effectively, inform hypothesis development, and lay a strong foundation for advanced statistical modeling. Start your journey into the world of data analysis today!

Jul 6th 2026
4 Weeks
The Horse Course: Introduction to Basic Care and Management (Coursera) Coursera
University of Florida

The Horse Course: Introduction to Basic Care and Management (Coursera)

Embark on a journey into the world of horses with The Horse Course. This beginner-friendly program offers insights into essential aspects of caring for and managing horses effectively. Whether you're a seasoned equestrian or new to horse ownership, this course will equip you with the knowledge needed to provide your equine companion with the best possible care.

Jul 6th 2026
5-12 Weeks
Regression Models (Coursera) Coursera
Johns Hopkins University

Regression Models (Coursera)

Dive into Regression Models, a crucial course for aspiring data scientists on Coursera. Explore linear assumptions, learn how to relate outcomes to predictors effectively using regression analysis, and understand the principles of least squares and statistical inference. This course is perfect for those looking to deepen their understanding of essential statistical tools.

Jul 6th 2026
4 Weeks
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.

Jul 6th 2026
4 Weeks

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Calculus: Single Variable Part 1 - Functions (Coursera) Coursera
University of Pennsylvania

Calculus: Single Variable Part 1 - Functions (Coursera)

Dive into the core concepts of single-variable Calculus with our engaging online course, 'Calculus: Single Variable Part 1 - Functions'. This course is designed for students in engineering, physical sciences, and social sciences who want to grasp the basics of functions, limits, derivatives, and their practical applications. Whether you're a beginner or looking to refresh your knowledge, this course will equip you with a strong foundation in calculus.

Jul 6th 2026
4 Weeks
Calculus: Single Variable Part 2 - Differentiation (Coursera) Coursera
University of Pennsylvania

Calculus: Single Variable Part 2 - Differentiation (Coursera)

Dive into the fascinating world of Calculus with our 'Single Variable Part 2 - Differentiation' course. This course is designed to provide a strong foundation in differentiation, essential for students entering fields such as engineering, physical sciences, and more. Learn at your own pace and apply calculus concepts to real-world problems.

Jul 6th 2026
3 Weeks
Calculus: Single Variable Part 3 - Integration (Coursera) Coursera
University of Pennsylvania

Calculus: Single Variable Part 3 - Integration (Coursera)

Dive into 'Calculus: Single Variable Part 3 - Integration' on Coursera, where you'll explore the vital concept of integration. This course is designed for students in engineering, physical sciences, and social sciences who are looking to grasp the complexities of calculus and apply its principles to real-world problems. Learn how to compute integrals effectively and understand their profound applications.

Jul 6th 2026
4 Weeks
Calculus: Single Variable Part 4 - Applications (Coursera) Coursera
University of Pennsylvania

Calculus: Single Variable Part 4 - Applications (Coursera)

Explore the practical side of Calculus in this comprehensive course from Coursera, where you'll learn how to apply complex calculus theories to solve real-world problems across various fields like engineering, physics, and more. Perfect for beginners looking to understand the applications of single-variable calculus.

Jul 6th 2026
5-12 Weeks
The Global Financial Crisis (Coursera) Coursera
Yale University

The Global Financial Crisis (Coursera)

Dive into the comprehensive analysis of the recent global financial crisis with this online course led by Timothy F. Geithner, a key figure in the response to the crisis, and Professor Andrew Metrick. Learn about the origins, unfolding events, policy measures taken globally, and the long-term effects on economies worldwide.

Jul 6th 2026
5-12 Weeks
Materials Science: 10 Things Every Engineer Should Know (Coursera) Coursera
University of California, Davis

Materials Science: 10 Things Every Engineer Should Know (Coursera)

Dive into the world of materials science with our engaging online course designed for engineers. Explore 10 critical topics that will deepen your understanding of material properties, structures, and manufacturing principles. Gain insights into how these concepts apply in real-world engineering scenarios and elevate your career.

Jul 6th 2026
5-12 Weeks