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Upcoming MOOCs

Programming Languages, Part B (Coursera) Coursera
University of Washington

Programming Languages, Part B (Coursera)

Dive into the world of Programming Languages with 'Programming Languages, Part B'. This course offers an in-depth exploration of functional programming using ML, Racket, and Ruby as key learning tools. Whether you're new to programming or looking to refine your skills, this course provides a framework for understanding language constructs and designing effective programs.

Jul 6th 2026
3 Weeks
Corruption (Coursera) Coursera
University of Pennsylvania

Corruption (Coursera)

Dive into the world of Corruption: Concepts & Context to gain a profound understanding of what corruption is, why it occurs, how it affects societies, and effective ways to control and prevent it. This course offers insights from experts in the field, equipping you with knowledge to navigate complex global issues.

Jul 6th 2026
4 Weeks
Basics of Extracellular Vesicles (Coursera) Coursera
University of California, Irvine

Basics of Extracellular Vesicles (Coursera)

Dive into the world of Extracellular Vesicles with our beginner-friendly online course. Learn about the fascinating history, diverse types, and crucial roles these vesicles play in biological processes. Gain insights into EV biogenesis, cargo, release mechanisms, isolation methods, and characterization techniques essential for understanding their applications in medicine, biology, and beyond.

Jul 6th 2026
5-12 Weeks
Graphic Design (Coursera) Coursera
University of Colorado Boulder

Graphic Design (Coursera)

Dive into the world of Graphic Design with this comprehensive online course offered by Coursera. Whether you're a beginner or looking to refine your professional skills, this course provides valuable insights and practical knowledge to help you craft effective visual communications. Learn from experienced professionals and start creating designs that engage and persuade.

Jul 6th 2026
4 Weeks
Finance for Non-Finance Professionals (Coursera) Coursera
Rice University

Finance for Non-Finance Professionals (Coursera)

Dive into the world of finance with 'Finance for Non-Finance Professionals'. This course offers an intuitive approach to understanding complex financial topics such as valuation, compounding returns, and discounted cash flow (DCF). Ideal for those without a finance background, this course provides a roadmap to making informed business decisions. Learn how to think like a financial manager and apply key concepts in real-world scenarios.

Jul 6th 2026
5-12 Weeks
Introduction to Data Analytics for Business (Coursera) Coursera
University of Colorado Boulder

Introduction to Data Analytics for Business (Coursera)

Dive into the world of data analytics tailored for business leaders with our Introduction to Data Analytics for Business course on Coursera. This foundational program equips you with the tools and techniques needed to harness the potential of big data, turning raw information into valuable insights that drive organizational success. Whether you're new to data analysis or looking to deepen your expertise, this course offers a structured learning path to help you understand the analytical process, data creation, storage, access, and how businesses leverage analytics for competitive advantage.

Jul 6th 2026
4 Weeks

Last Submitted or Updated

Programming for Everybody (Getting Started with Python) (Coursera) Coursera
University of Michigan

Programming for Everybody (Getting Started with Python) (Coursera)

Discover the fundamentals of coding with 'Programming for Everybody: Getting Started with Python' on Coursera. This introductory course is designed to teach you the essential skills needed to program computers using Python, without requiring any previous programming knowledge or complex mathematics. Perfect for beginners looking to start their journey into the world of computer programming.

Jul 6th 2026
5-12 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.

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