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.
Introduction to Portfolio Construction and Analysis with Python
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Introduction to Portfolio Construction and Analysis with Python
This course is part of Investment Management with Python and Machine Learning Specialization
Instructors: Vijay Vaidyanathan, PhD
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4.8
(1,404 reviews)
25 hours to complete
3 weeks at 8 hours a week
Flexible schedule
Learn at your own pace
94%
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What you'll 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
Details to know
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Assessments
4 assignments
Taught in English
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This course is part of the Investment Management with Python and Machine Learning Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
What's included
14 videos6 readings1 assignment1 discussion prompt1 ungraded lab
What's included
10 videos1 reading1 assignment1 discussion prompt
What's included
15 videos4 readings1 assignment1 discussion prompt
What's included
12 videos5 readings1 assignment1 discussion prompt
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