Python Asset Management: ML & Alternative Data Insights
Master Python and machine learning techniques for financial analysis using alternative data sets. Learn advanced visualization and textual analysis.
Master Python and machine learning techniques for financial analysis using alternative data sets. Learn advanced visualization and textual analysis.
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
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What you'll learn
Master alternative data analysis for financial markets
Perform advanced data visualization and textual analysis
Process and analyze corporate filings using Python
Apply machine learning to financial data sets
Develop sentiment analysis skills for market prediction
Skills you'll gain
This course includes:
4.6 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course explores the application of Python and machine learning techniques to alternative data sets in asset management. Students learn to analyze consumption data, perform textual analysis of financial documents, process corporate filings (10-K and 13-F), and utilize media-derived data. The curriculum covers advanced visualization techniques, web scraping tools, and practical applications of machine learning in financial markets, with hands-on lab sessions using real-world datasets.
Consumption
Module 1 · 6 Hours to complete
Textual Analysis for Financial Applications
Module 2 · 3 Hours to complete
Processing Corporate Filings
Module 3 · 3 Hours to complete
Using Media-Derived Data
Module 4 · 7 Hours to complete
Fee Structure
Instructors
Founder and Managing Partner of MKT MediaStats
Dr. Gideon Ozik is the founder and managing partner of MKT MediaStats, LLC, a technology and data analytics company that leverages expertise in data science and financial economics to extract insights from untapped big data sources in financial markets. Prior to establishing MKT MediaStats, Gideon held significant positions including head of investment solutions at Nexar Capital and fund manager at Société Générale Asset Management. With a robust academic background, he has taught courses on big data analytics, financial derivatives, and investment theory at prestigious institutions such as HEC Paris, Dauphine University, and EDHEC Business School, where he is currently an affiliate professor and research associate.Dr. Ozik earned his B.Sc. from the Technion - Israel Institute of Technology (cum laude), an MBA from Washington University (first graduate in finance), and a PhD in Finance from EDHEC Business School. He is actively involved in developing courses like "Python and Machine Learning for Asset Management with Alternative Data Sets," aimed at equipping students with essential skills for modern asset management practices. His extensive experience in both academia and the finance industry positions him as a leading expert in utilizing data analytics for investment decision-making.
Quantitative Analyst and Founder of FinanceAndPython.com
Sean McOwen is a quantitative analyst currently pursuing a Master of Science in Applied Mathematics at Columbia University. He holds a Master of Science in Analytics from Georgia Institute of Technology and a Bachelor's Degree in Finance and Economics from Boston College. Sean is also the founder of FinanceAndPython.com, a website dedicated to teaching finance and Python programming through a practical, hands-on approach. His expertise lies in applying quantitative methods to financial markets, making complex concepts accessible to learners.On Coursera, Sean teaches the course "Python and Machine Learning for Asset Management with Alternative Data Sets," where he provides insights into utilizing data science techniques for investment management. His work focuses on integrating Python programming with financial analysis, enabling students to develop effective investment strategies. With a strong academic background and practical experience, Sean McOwen is committed to empowering others in the finance industry by enhancing their analytical skills and understanding of modern investment practices.
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4.4 course rating
229 ratings
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