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
This course is part of Investment Management with Python and Machine Learning Specialization
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(1,383 reviews)
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
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There are 4 modules in this course
What's included
14 videos6 readings1 quiz1 discussion prompt1 ungraded lab
What's included
10 videos1 reading1 quiz1 discussion prompt
What's included
15 videos4 readings1 quiz1 discussion prompt
What's included
12 videos5 readings1 quiz1 discussion prompt
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Recommended if you're interested in Finance
EDHEC Business School
EDHEC Business School
EDHEC Business School
The Hong Kong University of Science and Technology
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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