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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

Last Submitted or Updated

Research Data Management and Sharing (Coursera) Coursera
University of Edinburgh,University of North Carolina

Research Data Management and Sharing (Coursera)

Discover the essential skills of Research Data Management and Sharing in this introductory course. From understanding diverse types of research data to mastering their effective management throughout the entire lifecycle, this course equips you with the knowledge needed for responsible and efficient handling of research data. Learn about creating robust data management plans, securing your data, and even sharing it responsibly.

Jul 6th 2026
5-12 Weeks
Approximation Algorithms Part I (Coursera) Coursera
École normale supérieure

Approximation Algorithms Part I (Coursera)

Dive into the world of Approximation Algorithms Part I, an insightful online course designed to equip you with the skills needed to tackle NP-hard combinatorial optimization problems effectively. This course explores efficient methods for approximating solutions that balance computational efficiency with performance guarantees.

Jul 6th 2026
5-12 Weeks
Approximation Algorithms Part II (Coursera) Coursera
École normale supérieure

Approximation Algorithms Part II (Coursera)

Continue your journey into the fascinating world of theoretical computer science with 'Approximation Algorithms Part II'. This course is a continuation from Part 1, where you'll delve deeper into powerful design and analysis techniques such as linear programming duality and semidefinite programming. Master these methods to solve complex problems effectively.

Jul 6th 2026
4 Weeks
Giving Helpful Feedback (Coursera) Coursera
University of Colorado Boulder

Giving Helpful Feedback (Coursera)

Discover how to provide effective and motivating feedback that enhances employee performance in this comprehensive Coursera course. Learn from expert managers as you explore techniques for delivering honest feedback without causing defensiveness or fear. This course will equip you with the skills needed to be an influential leader, capable of driving creativity, teamwork, and overall workplace productivity.

Jul 6th 2026
5-12 Weeks
Arch of Titus: Rome and the Menorah (Coursera) Coursera
Yeshiva University

Arch of Titus: Rome and the Menorah (Coursera)

Dive into the rich tapestry of ancient history with 'Arch of Titus: Rome and the Menorah'. This course unravels the layers of meaning behind one of Rome's most enduring monuments, exploring its significance from Roman conquests to Jewish heritage and early Christianity. Join Professor Steven Fine as you examine ancient texts and artifacts, gaining a deeper understanding of how this monument continues to influence our world today.

Jul 6th 2026
5-12 Weeks
A Law Student's Toolkit (Coursera) Coursera
Yale University

A Law Student's Toolkit (Coursera)

Embark on your journey to becoming a proficient legal professional with 'A Law Student's Toolkit'. This course is meticulously crafted to equip you with the foundational knowledge required in law school and beyond. From understanding key terminologies to mastering argumentation techniques, this course serves as an indispensable resource for both aspiring and current law students.

Jul 6th 2026
3 Weeks