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
very good introductory course to learn how python is used to implement portfolio strategies. coding is taught in a simple enough way to pick up and try to real-world data as well....
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
Perfect Course to get started with the basics of Portfolio Construction. The python code with the guided lab sessions becomes easy and quick to grasp and the instructors are awesome!!
About the Investment Management with Python and Machine Learning Specialization
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