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Learner Reviews & Feedback for Python and Machine Learning for Asset Management by EDHEC Business School

3.1
stars
327 ratings

About the Course

This course will enable you mastering machine-learning approaches in the area of investment management. It has been designed by two thought leaders in their field, Lionel Martellini from EDHEC-Risk Institute and John Mulvey from Princeton University. Starting from the basics, they will help you build practical skills to understand data science so you can make the best portfolio decisions. The course will start with an introduction to the fundamentals of machine learning, followed by an in-depth discussion of the application of these techniques to portfolio management decisions, including the design of more robust factor models, the construction of portfolios with improved diversification benefits, and the implementation of more efficient risk management models. We have designed a 3-step learning process: first, we will introduce a meaningful investment problem and see how this problem can be addressed using statistical techniques. Then, we will see how this new insight from Machine learning can complete and improve the relevance of the analysis. You will have the opportunity to capitalize on videos and recommended readings to level up your financial expertise, and to use the quizzes and Jupiter notebooks to ensure grasp of concept. At the end of this course, you will master the various machine learning techniques in investment management....

Top reviews

ST

Apr 9, 2020

The topics covered in this course are really interesting. I learned a great deal by studying various papers covered in this course - Thank you to both instructors!

AR

May 11, 2022

Very nice course sharing many types of knowledges around data / cleaning / type of data / several algorithms / organised Python coding

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126 - 136 of 136 Reviews for Python and Machine Learning for Asset Management

By Jeremy P

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Mar 25, 2021

Very low explanation of function and code although the lab part is the most interesting and most important in my view. MOOC1 and 2 were better on this.

By Kenneth N

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Jul 13, 2022

Very bad teaching. Materials are not well thought out and explained. simple concepts were made to look very complicated. Dont take this course

By Behrad B

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Nov 17, 2020

If you just want to hear some machine learning jargon, you'll find this course useful. But, don't expect to "learn" anything.

By Kushagra S

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Aug 11, 2021

The course is not well made. It is like many pieces just put together no coherence. Not a very useful course.

By michelangelo d

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Feb 19, 2020

1) poor explanations, few examples, bad audio quality... I was about to give up because of this 3rd course...

By Alessandro F

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Jan 30, 2020

Worst course in the all specialization! Bad lectures, and absolutely bad grading system.

Very disappointed!

By PRANAV K

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Nov 30, 2020

Quiz section is totally incoherent with lectures provided. Sorry!!

By Denis P

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Jan 3, 2020

Very bad. Previous 2 courses was amazing, but this is a strange.

By Florea G A

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Oct 14, 2024

Information not usable in a day-to-day portfolio management

By Klaus M

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Apr 16, 2020

This course is real true bull shit!

By Bhranti T

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Sep 18, 2020

i didnt like it...