Python and Machine Learning for Asset Management
Master Python and machine learning techniques for investment management, from factor models to portfolio optimization. Perfect for finance professionals.
Master Python and machine learning techniques for investment management, from factor models to portfolio optimization. Perfect for finance professionals.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Investment Management with Python and Machine Learning Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Master machine learning techniques for investment management
Develop robust factor models using advanced estimation methods
Implement efficient portfolio diversification strategies
Analyze market regimes and economic cycles
Apply supervised and unsupervised learning to financial data
Skills you'll gain
This course includes:
8.8 Hours PreRecorded video
5 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course combines Python programming and machine learning techniques for modern investment management. The curriculum covers fundamental machine learning concepts, their application to portfolio management, factor model estimation, portfolio diversification, and regime analysis. Through hands-on lab sessions and Jupyter notebooks, students learn to implement practical solutions for investment decisions, risk management, and portfolio optimization. The course bridges theoretical concepts with real-world applications in quantitative finance.
Introducing the fundamentals of machine learning
Module 1 · 3 Hours to complete
Machine learning techniques for robust estimation of factor models
Module 2 · 3 Hours to complete
Machine learning techniques for efficient portfolio diversification
Module 3 · 2 Hours to complete
Machine learning techniques for regime analysis
Module 4 · 3 Hours to complete
Identifying recessions, crash regimes and feature selection
Module 5 · 3 Hours to complete
Fee Structure
Instructors
Champion of Pedagogical Innovation and EdTech Specialist
Claudia has over 12 years of experience in education, specializing in the intersection of learning and new technologies. Starting as a professor of International Economy in Argentina, she later joined EDHEC’s Pedagogical Innovation Laboratory after earning her International MBA. Claudia focuses on enhancing the educational experience through creative and collaborative online and hybrid learning initiatives, drawing on her consulting background to bring fresh, innovative approaches to the field.
Professor of Operations Research and Financial Engineering at Princeton University
John M. Mulvey is a distinguished Professor in the Operations Research and Financial Engineering Department at Princeton University and a founding member of the Bendheim Centre for Finance. With over thirty-five years of experience, Dr. Mulvey specializes in financial optimization and advanced portfolio theory. His extensive work includes implementing asset-liability management systems for major organizations such as PIMCO, AXA, and Siemens. Currently, his research focuses on regime identification and factor approaches tailored for long-term investors, including family offices and pension plans, emphasizing performance optimization and wealth protection.Dr. Mulvey has published over 150 articles and edited five books throughout his career, contributing significantly to the fields of finance and operations research. He is developing a Massive Open Online Course (MOOC) titled “Python Machine Learning for Investment Management” alongside Professor Lionel Martellini. His course offerings on Coursera, including "Python and Machine Learning for Asset Management," aim to equip learners with essential skills in financial modeling and machine learning applications in investment management. Additionally, he serves as a senior advisor for Alibaba's Ant Financial and First Republic Bank, further solidifying his influence in the finance sector.
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