Online Course
Introduction to Portfolio Construction and Analysis with Python
EDHEC Business School via Coursera
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Overview
Class Central Tips
This course is the first in a four course specialization in Data Science and Machine Learning in Asset Management but can be taken independently. In this course, we cover the basics of Investment Science, and we'll build practical implementations of each of the concepts along the way. We'll start with the very basics of risk and return and quickly progress to cover a range of topics including several Nobel Prize winning concepts. We'll cover some of the most popular practical techniques in modern, state of the art investment management and portfolio construction.
As we cover the theory and math in lecture videos, we'll also implement the concepts in Python, and you'll be able to code along with us so that you have a deep and practical understanding of how those methods work. By the time you are done, not only will you have a foundational understanding of modern computational methods in investment management, you'll have practical mastery in the implementation of those methods.
Syllabus
An Introduction to Portfolio Optimization
Beyond Diversification
Introduction to Asset-Liability Management
Taught by
Vijay Vaidyanathan, PhD and Lionel Martellini, PhD
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