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

4.8
stars
1,362 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.

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126 - 150 of 372 Reviews for Introduction to Portfolio Construction and Analysis with Python

By John S

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Jan 14, 2021

Excellent course. Lionel and Vijay were both superb. The quality of finance instruction beautifully complemented the Python coding seminars. Highly recommended!

By Wing H T

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Dec 29, 2020

amazing course. I never thought diversification has its limits in the way you described. But I did observe it in real life. this is an exceptional course.

By Steven D

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Oct 31, 2022

Fantastic course, with the Python labs going into great depth in their implementation of the financial theory. Looking forward to the remaining courses

By Gabor K

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Apr 3, 2020

It was a decent course. Went deeper than I expected so I would not say that it is really for beginners. Python labs were interesting and really useful.

By Ngawang T

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Jul 6, 2021

Pretty great course. Bit hard to finish towards the end. Both profs were great, however towards the end both of them were not on the exact same track.

By Jacopo G

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Aug 10, 2021

This MOOC is one of the best out there with respect to applied investment management and portfolio construction. Well done and thank you sincerely!

By Papa A D

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Aug 3, 2021

Great course. Liked the lectures and lab. Looking forward to the rest of the courses in the specialization and to improving my Python coding skills.

By kitiwat a

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Dec 9, 2019

Eventhough, I'm new to python programming. I'm able to follow and make better understanding how we're efficiently perform LDI and CPPI simulations.

By P K

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Feb 24, 2023

Excellent, dense and extremely well presented, with just the necessary amount of theory and huge emphasis on the practical application in python.

By Salvatore T

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Jan 24, 2021

The course is very well explained, it starts from basics and it progress rapidly into more advanced topics portfolio theory and risk management.

By Yaron K

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Oct 8, 2020

An in depth explanation of CAPM and risk measures like sharpe and drop-down , with excellent explanations of the accompanying Python notebooks.

By Juan D M G

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Jan 24, 2021

Excelente curso. Tanto las lecciones teóricas como las prácticas son bastante claras y llevan de la mano al estudiante. Muy bien estructurado.

By Dan

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Dec 7, 2020

one of the best investing courses out there. so exited to keep on going with the specialization. huge thanks to the lab instructor especially.

By isaac i

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Jan 28, 2022

The lab session were amazing especially how it's done in a way those with little to no knowledge of python can be able to understand it.

By Julio V

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Apr 25, 2020

Very good course to apply finance knowledge with python. You need a good basis of finance and python to make the best out of the course

By Hernan S L

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Mar 26, 2020

Excellent Course in order to get basics of Python applied to investment and risk management. Excellent Teachers! I highly recommend it!

By Ashish K

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Feb 10, 2022

excellent way of teaching...its like attending a class room session. Mr Vaidyanathan in particular explains various aspects in depth..

By Bhushan B

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Jun 19, 2021

One of the best video lectures which was conducted by Mr. Vijay which take you along the journey of Investments as part of a storyline

By Roshan M

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Mar 29, 2020

An excellent introduction to portfolio construction and analysis. Professor Vijay is outstanding at going through the lab sessions.

By Simon M

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May 26, 2020

The inclusion of python coding makes this a valuable and practical course. I particularly liked Vijay's real time coding approach.

By Jorge D M G

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Apr 11, 2020

Very good course to learn how to build and optimize portfolios. I would totally recommend it for Python and Finance beginners!

By Astarag M

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Jan 5, 2023

I am particularly a fan of the lab sessions in the course. It is a great course both in the practical and theoretical front

By Julio J F B S

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Feb 27, 2023

It's a well-designed course that teaches you the fundamental of a portfolio construction and it's incredibly well-explained

By Peter H S

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Jul 16, 2022

Excellent course with state-of-the-art portfolio construction content and demanding but well-explained python lab sessions.