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Upcoming MOOCs

The Power of Markets I: The Basics of Supply and Demand and Consumer Behavior (Coursera) Coursera
University of Rochester

The Power of Markets I: The Basics of Supply and Demand and Consumer Behavior (Coursera)

Dive into the basics of economics with 'The Power of Markets I'. This comprehensive course unravels the principles of supply and demand, consumer behavior analysis, and their pivotal role in shaping market dynamics. Gain insights into how markets function, respond to changes, and are influenced by government interventions. Perfect for beginners looking to grasp economic fundamentals or professionals aiming to refine their understanding.

Jul 6th 2026
4 Weeks
The Power of Markets II: Market Structure and Firm Behaviour (Coursera) Coursera
University of Rochester

The Power of Markets II: Market Structure and Firm Behaviour (Coursera)

Dive deeper into the world of markets with 'The Power of Markets II: Market Structure and Firm Behaviour' course on Coursera. This advanced module teaches you how firms can efficiently produce goods, determine optimal pricing strategies, and adapt their behavior based on market conditions. Whether you're a student or professional in economics, this course will equip you with the tools to understand and analyze firm behavior across different market structures.

Jul 6th 2026
4 Weeks
The Power of Markets III: Input Markets and Promoting Efficiency (Coursera) Coursera
University of Rochester

The Power of Markets III: Input Markets and Promoting Efficiency (Coursera)

Embark on the concluding chapter of 'The Power of Markets' series where you'll delve into advanced topics such as monopoly pricing strategies, efficiency analysis in monopolies, oligopoly dynamics, and the complexities of input markets. This course will equip you with a comprehensive understanding of how firms operate in imperfectly competitive environments and how to assess their demand for inputs effectively.

Jul 6th 2026
4 Weeks
Marketing Analytics (Coursera) Coursera
University of Virginia

Marketing Analytics (Coursera)

Dive into the world of Marketing Analytics with this comprehensive online course from Coursera. Master the art of interpreting data to make informed decisions that drive business growth and optimize your marketing strategies for maximum return on investment (ROI). Gain valuable skills in measuring, managing, and analyzing marketing performance to uncover customer trends and preferences.

Jul 6th 2026
5-12 Weeks
Understanding Clinical Research: Behind the Statistics (Coursera) Coursera
University of Cape Town

Understanding Clinical Research: Behind the Statistics (Coursera)

Unlock the secrets behind clinical research statistics! This course is perfect for healthcare practitioners and students who want to deepen their understanding of statistical analysis in medical studies. Gain clarity on complex terms like 'p-value' and 'confidence interval', enabling you to critically assess and apply research findings effectively in your professional practice or academic pursuits.

Jul 6th 2026
5-12 Weeks
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

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Social Network Analysis (Coursera) Coursera
University of California, Davis

Social Network Analysis (Coursera)

Dive into the fascinating world of Social Network Analysis with our expert-led course. Explore how social connections shape our lives and learn to navigate them strategically. Perfect for professionals, students, and anyone interested in understanding human behavior within complex networks.

Jul 6th 2026
5-12 Weeks
Games without Chance: Combinatorial Game Theory (Coursera) Coursera
Georgia Institute of Technology

Games without Chance: Combinatorial Game Theory (Coursera)

Dive into the intriguing realm of Games Without Chance: Combinatorial Game Theory. This course will equip you with the skills to understand and excel in games where strategy reigns supreme over chance. From Nim to Go, learn how mathematics can be applied to predict outcomes and optimize your gameplay.

Jul 6th 2026
5-12 Weeks
Social and Economic Networks: Models and Analysis (Coursera) Coursera
Stanford University

Social and Economic Networks: Models and Analysis (Coursera)

Dive into the fascinating realm of Social and Economic Networks with our expert-led course. Uncover the secrets behind how networks form, their patterns, and the profound impact they have on behaviors such as diffusion and learning. This course blends economics, sociology, math, physics, statistics, and computer science to provide a holistic understanding.

Jul 6th 2026
5-12 Weeks
Microeconomics: The Power of Markets (Coursera) Coursera
University of Pennsylvania

Microeconomics: The Power of Markets (Coursera)

Dive into the world of Microeconomics with 'Microeconomics: The Power of Markets' on Coursera. This course unravels the complexities of markets, consumer behavior, and firm strategies, providing you with a solid understanding of how microeconomic theory influences daily life decisions. Whether you're a student or a professional, this course will equip you with essential economic knowledge.

Jul 6th 2026
5-12 Weeks
Probabilistic Graphical Models 1: Representation (Coursera) Coursera
Stanford University

Probabilistic Graphical Models 1: Representation (Coursera)

Dive into the world of Probabilistic Graphical Models 1: Representation, a Coursera course designed for those eager to understand how to represent complex joint probability distributions. This course explores the intersection of statistics and computer science, teaching you essential concepts from probability theory, graph algorithms, and machine learning that are crucial in developing state-of-the-art methods across numerous applications.

Jul 6th 2026
5-12 Weeks