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Learner Reviews & Feedback for Python and Machine-Learning for Asset Management with Alternative Data Sets by EDHEC Business School

4.4
stars
134 ratings
33 reviews

About the Course

Over-utilization of market and accounting data over the last few decades has led to portfolio crowding, mediocre performance and systemic risks, incentivizing financial institutions which are looking for an edge to quickly adopt alternative data as a substitute to traditional data. This course introduces the core concepts around alternative data, the most recent research in this area, as well as practical portfolio examples and actual applications. The approach of this course is somewhat unique because while the theory covered is still a main component, practical lab sessions and examples of working with alternative datasets are also key. This course is fo you if you are aiming at carreers prospects as a data scientist in financial markets, are looking to enhance your analytics skillsets to the financial markets, or if you are interested in cutting-edge technology and research as they apply to big data. The required background is: Python programming, Investment theory , and Statistics. This course will enable you to learn new data and research techniques applied to the financial markets while strengthening data science and python skills....

Top reviews

AT

Mar 06, 2020

really interesting applications and good examples. More breadth than depth but a great guide as to what the state of the art is in applying machine learning to more alternative forms of data.

YK

Oct 03, 2020

Detailed Python notebooks clearly explained give valuable tools for analyzing data, and the lectures give ideas what to do with the analyzed data.

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26 - 33 of 33 Reviews for Python and Machine-Learning for Asset Management with Alternative Data Sets

By Rakesh P

Jul 31, 2020

The content is really great, but it would have been even better if the code and applications were explained in somewhat more detail.

By Jean-Luc B

Apr 12, 2020

Good course and interesting topics but I guess the quizzes should test the capacity of the students to use the notebooks.

By Eran I

Aug 24, 2020

Great course, lots of lab session. I was missing some hands on exercises experiencing the data

By Andrea M

May 11, 2020

The course is fantastic. The only thing I would add is a session of practical tests.

By Elizabeth C W

Sep 30, 2020

enjoyed the lab sessions!

By Vadim T

May 22, 2020

It is a very good course which actually gave me a lot of ideas for my graduate research.

I am giving three start because there are no programming assignments. Quiz questions are based on the in-class labs but no opportunity is provided to play with numbers and to write your own code.

Nonetheless, excellent continuation of the sequence (unlike course 3 which is useless).

By Morten F

Oct 04, 2020

Some items in Labs (Sentiment Analysis) were missing from course resources

By ruhiye k

Oct 02, 2020

terribly boring make!