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Introduction to Portfolio Construction and Analysis with Python

Investment Management with Python and Machine Learning,

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 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.

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Rating 4.7 based on 49 ratings
Length 5 weeks
Effort 4 weeks - 4 hours per week
Starts Mar 15 (5 weeks ago)
Cost $49
From EDHEC Business School via Coursera
Instructors Vijay Vaidyanathan, PhD, Lionel Martellini, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business
Tags Data Science Data Analysis Business Finance

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What people are saying

lab sessions

Lab sessions thoroughly detailed, which is really a forte.

The lab sessions in this course are incredible and serve as a guide to implement techniques learned in the course (and to build on them) on new datasets.

The lectures are clear and the lab sessions are very helpful to understand concepts and use them by digging into the implementation.

Lectures are provided in a very succinct manner and the lab sessions are fluidly constructed.

The long lab sessions taught me how to build a tool from scratch, during which I learned many Python tricks.

The lab sessions, taught by Vijay, on the other hand is very enjoyable to follow.

Good theory and great lab sessions.

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great course

Great course....with the best tools.

Great teaching, very clear ... will consolidate first what i have learned, and will continue the next course A great course to learn, very helpful!

awesome Really great course!

This was a great course, really good materials, great exercises, no unreasonable tasks.

Best MOOC about Investment Management ever Great course, great contents, great instructors.

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excellent course

Excellent course for understanding the basics of investment.

it would be great if this course could be splitted to 6 or 7 weeks; the session of each week is too long now Excellent course,.

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balance between

The course is a great balance between theory and application.

Well-constructed course, right balance between theory and lab sessions.

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asset allocation

This is an excellent course on employing Python to make asset allocation decisions.

Secondly, the course expects an understanding of Asset Allocation concepts, and it will be prudent to read up on 'Modern Portfolio Theory: Efficient and Optimal Portfolios' before the second week.

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taught by

This course is taught by two instructors.

The theory, taught by prof Lionel, is not really clear for me.

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Freelance Personal Investment Management $31k

Investment and Risk Management $78k

Owner Personal Investment Management $80k

Head of Investment Management $80k

Accounting Specialist, Investment Management $87k

Senior Investment Management Analyst $106k

Investment Representative, Wealth Management $112k

Investment Management Marketing $114k

Institutional Investment Management $114k

Wealth & Investment Management $134k

Investment Management Sales $194k

Principal Investment Management Division $268k

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Rating 4.7 based on 49 ratings
Length 5 weeks
Effort 4 weeks - 4 hours per week
Starts Mar 15 (5 weeks ago)
Cost $49
From EDHEC Business School via Coursera
Instructors Vijay Vaidyanathan, PhD, Lionel Martellini, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business
Tags Data Science Data Analysis Business Finance

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