The practice of investment management has been transformed in recent years by computational methods. This course provides an introduction to the underlying science, with the aim of giving you a thorough understanding of that scientific basis. However, 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.
This course is part of the Investment Management with Python and Machine Learning Specialization
About this Course
What you will learn
Gain an intuitive understanding for the underlying theory behind Modern Portfolio Construction Techniques
Write custom Python code to estimate risk and return parameters
Utilize powerful Python optimization libraries to build scientifically and systematically diversified portfolios
Build custom utilities in Python to test and compare portfolio strategies
Syllabus - What you will learn from this course
An Introduction to Portfolio Optimization
Introduction to Asset-Liability Management
- 5 stars85.27%
- 4 stars12.55%
- 3 stars1.24%
- 2 stars0.38%
- 1 star0.54%
TOP REVIEWS FROM INTRODUCTION TO PORTFOLIO CONSTRUCTION AND ANALYSIS WITH PYTHON
Vijay simplifies learning whereas others make the simple concept so complicated. Vijay outshines others in this specialization. Others are subpar. especially the princeton guy
Exceptional quality of instruction. The production and detail of supporting materials made this class very accessible. I learned much more than expected. Bravo on the effort of the instructors!
The only thing I didn't like about this course was that the material of week 4 was about as much as weeks 1-3 combined. I feel like this could have been distributed a bit more evenly.
A well-balanced course between theory, applications and coding. If you are an intermediate finance student that is looking for a practical toolkit with python, this is the right course
About the Investment Management with Python and Machine Learning Specialization
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