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
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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Gain insight into a topic and learn the fundamentals.
4.8
(1,414 reviews)
25 hours to complete
3 weeks at 8 hours a week
Flexible schedule
Learn at your own pace
94%
Most learners liked this course
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
Instructors
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4.9 (476 ratings)Offered by
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4.8
1,414 reviews
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Showing 3 of 1414
DM
5
Reviewed on May 26, 2020
Enjoyable course. One has to be conversant with basic Phyton to follow this course. What I learnt the most is the ability to use Phyton coding to demonstrate the concept of portfolio investment.
MP
4
Reviewed on Aug 5, 2020
There is a tremendous amount of material to be learned in this course and it is quite challenging material but for anyone interested in this topic I think the instruction is excellent.
NH
5
Reviewed on Nov 5, 2020
Really appreciated Lab instructor. He has vary solid knowledge in both investment and Python. very clear explanation and easy to understand. Thanks for help lifting up my skills
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