Investment

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International Business II (Coursera) Coursera
University of New Mexico

International Business II (Coursera)

Explore the intricacies of operating businesses across borders with 'International Business II', a continuation from 'Introduction to the Global Business Environment I'. This course delves into organizational management in an international context, equipping you with essential skills and knowledge for successful cross-border operations.

Nov 16th 2026
5-12 Weeks
Using R for Regression and Machine Learning in Investment (Coursera) Coursera
Sungkyunkwan University - SKKU

Using R for Regression and Machine Learning in Investment (Coursera)

Dive into the world of data-driven investment strategies with 'Using R for Regression and Machine Learning in Investment'. Learn to apply regression techniques like logistic, Lasso, and Ridge regressions using R programming. This course is designed for aspiring and professional investors who want to leverage machine learning methodologies to enhance their investment analysis skills.

Nov 16th 2026
2 Weeks
Investment Management in an Evolving and Volatile World by HEC Paris and AXA Investment Managers (Coursera) Coursera
HEC Paris

Investment Management in an Evolving and Volatile World by HEC Paris and AXA Investment Managers (Coursera)

Dive into the world of investment management with 'Investment Management in an Evolving and Volatile World' - a course co-developed by HEC Paris and AXA Investment Managers. This course is designed for those who are curious about financial markets and want to gain insights into how professionals manage investments. Learn key concepts, strategies, and tools essential for making informed investment decisions.

Nov 9th 2026
4 Weeks
How to Validate your Startup Idea (Coursera) Coursera
UNSW Sydney - University of New South Wales

How to Validate your Startup Idea (Coursera)

Embark on a journey from concept to reality with 'How to Validate Your Startup Idea'. This course, available on Coursera, is designed for aspiring entrepreneurs who want to transform their innovative ideas into successful startups. By following the principles of active experimentation and iterative design, you'll learn how to test your business idea in real-world market conditions.

Nov 9th 2026
5-12 Weeks
Corporate Finance Essentials (Coursera) Coursera
IESE Business School

Corporate Finance Essentials (Coursera)

Discover the core principles of Corporate Finance Essentials on Coursera. This course is designed to equip you with a solid understanding of essential financial issues faced by companies, investors, and their interactions in capital markets. Enhance your ability to interpret financial news and communicate using the professional vocabulary of finance professionals.

Nov 2nd 2026
5-12 Weeks
Biases and Portfolio Selection (Coursera) Coursera
Rice University

Biases and Portfolio Selection (Coursera)

Investors often fall victim to their own biases, leading to suboptimal decision-making in the financial markets. This third course in our series delves into behavioral biases – errors that investors make and their underlying causes. By recognizing these mistakes, both personal and those of others, you'll gain insights into how they influence investment choices and market dynamics. Explore the impact of different preferences and investment horizons on optimal asset allocation strategies.

Nov 2nd 2026
4 Weeks
Introduction to Trading, Machine Learning & GCP (Coursera) Coursera
New York Institute of Finance,Google Cloud

Introduction to Trading, Machine Learning & GCP (Coursera)

Embark on a journey into the world of finance and technology with our Introduction to Trading, Machine Learning & GCP course. This course is designed for beginners who want to dive deep into trading fundamentals, explore the realm of machine learning, and gain hands-on experience using Google Cloud Platform (GCP). Learn how to identify profitable opportunities in trading, build basic quantitative strategies, and apply machine learning techniques to analyze data effectively.

Nov 2nd 2026
4 Weeks
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