The practice of investment management has been transformed in recent years by computational methods. Instead of merely explaining the science, we help you build on that foundation in a practical manner, with an emphasis on the hands-on implementation of those ideas in the Python programming language. In this course, we cover the estimation, of risk and return parameters for meaningful portfolio decisions, and also introduce a variety of state-of-the-art portfolio construction techniques that have proven popular in investment management and portfolio construction due to their enhanced robustness.
About this Course
- 5 stars82.09%
- 4 stars13.10%
- 3 stars3.71%
- 2 stars0.65%
- 1 star0.43%
TOP REVIEWS FROM ADVANCED PORTFOLIO CONSTRUCTION AND ANALYSIS WITH PYTHON
Great course, provides valuable insight into the theory along with well designed worked examples. Many thanks to both instructors.
This course gives a good understanding of Fama-French, GARCH, Black-Litterman and risk parity models among many others, not only theoretically, but also through hands-on Lab sessions.
Loved how this course was presented. It built well off of the first course and provided labs that let me explore the content. I really enjoyed how Lionel and Vijay presented the material.
Really appreciated from both of the instructors, from thier very high level of theory and practical programming skills. Hoping to use these khowledge in pracsis some days.
About the Investment Management with Python and Machine Learning Specialization
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