Investment Management with Python and Machine Learning Specialization
Investment Management with Python and Machine Learning Specialization
Instructors: Sean McOwen
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Beginner level
No prior experience required
2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Write custom Python code and use existing Python libraries to build and analyse efficient portfolio strategies.
Write custom Python code and use existing Python libraries to estimate risk and return parameters, and build better diversified portfolios.
Learn the principles of supervised and unsupervised machine learning techniques to financial data sets
Gain an understanding of advanced data analytics methodologies, and quantitative modelling applied to alternative data in investment decisions
Skills you'll gain
- Applied Machine Learning
- Asset Management
- Data Visualization Software
- Financial Market
- Financial Modeling
- Financial Statements
- Investment Management
- Investments
- Machine Learning
- Machine Learning Methods
- Network Analysis
- Portfolio Management
- Portfolio Risk
- Predictive Modeling
- Return On Investment
- Risk Management
- Social Network Analysis
- Text Mining
- Unstructured Data
- Web Scraping
Details to know
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Taught in English
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Specialization - 4 course series
Introduction to Portfolio Construction and Analysis with Python
Course 1 25 hours
Advanced Portfolio Construction and Analysis with Python
Course 2 12 hours
Python and Machine Learning for Asset Management
Course 3 16 hours
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