Chevron Left
Back to Introduction to Portfolio Construction and Analysis with Python

Learner Reviews & Feedback for Introduction to Portfolio Construction and Analysis with Python by EDHEC Business School

4.8
stars
1,404 ratings

About the Course

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....

Top reviews

MA

Nov 29, 2020

Awesome Course, Great instructors that give a nice balance of theory and practice, the practice is very hands-on and will help you understand the theory and give you useful tools from the first week.

SW

Aug 5, 2020

I am self taught in Python and have an industry background in Finance. This course was a good connector/provided additional insight on using Python to process portfolio performance and data analysis.

Filter by:

251 - 275 of 378 Reviews for Introduction to Portfolio Construction and Analysis with Python

By Enrique R D

•

Mar 15, 2020

Excelent material... lab session are pretty good!

By Sangwoo K

•

Dec 17, 2020

Lab session is very well organized and practical

By Clement G

•

Apr 14, 2020

Super Class, super teacher, pretty good codes GG

By ZHANG Z

•

Apr 10, 2020

good course about python and portfolio knowledge

By Parthasarathy S

•

May 4, 2020

Excellent instructors. Awesome course contents.

By Amine E Q

•

Oct 6, 2022

really powerfull. I liked the course structure

By Andrea Z

•

Feb 10, 2021

Fantastic and Usefull Course. Great Professors

By Sarah Q

•

May 1, 2020

The best course I have ever taken on Coursera.

By Purin L

•

Apr 24, 2021

Nice instructors. You can learn step-by-step.

By praburam u

•

Oct 3, 2020

The course content and teaching is very good

By Taiyr Z

•

Oct 28, 2024

Very concise, clear and easy to understand!

By Steve B

•

Feb 5, 2021

Excellent combination of theory and coding.

By Fung H K

•

Sep 6, 2020

very practical exercise with python library

By Min L

•

May 10, 2020

Great lab session which is really detailed.

By Konstantinos R

•

Nov 2, 2019

Very insightful, coherent and elaborative.

By Egkachai A

•

Nov 2, 2019

Best MOOC about Investment Management ever

By RENATO V M S

•

Jun 5, 2021

Extraordinary Course and Professors !!!!

By Rui Z

•

Jun 27, 2020

Best combination of theory and practice.

By Jixin D

•

Nov 16, 2020

Excellent and I will high recommend it!

By Nikolay N

•

Feb 13, 2020

A great course to learn, very helpful!

By Martin A

•

Aug 15, 2020

the last week session 2 is quite hard

By HP F

•

Jun 8, 2020

Great course, didactically excellent!

By Iúri H F

•

Jul 20, 2021

Excellent course. Highly recommended

By Y_C C

•

Jun 14, 2020

Great content, pace and instructors.

By Alberto C

•

Feb 18, 2020

Great course....with the best tools.