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Back to Python and Machine-Learning for Asset Management with Alternative Data Sets

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

191 ratings
46 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

Mar 5, 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.

Mar 30, 2021

Was pretty informative, especially getting to see and understand the techniques that large hedge funds might use to determine their investment strategies.

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26 - 47 of 47 Reviews for Python and Machine-Learning for Asset Management with Alternative Data Sets

By Luca D

May 22, 2020

The most interesting course I have attended for data analysis so far

By Sebastián H

Jul 29, 2020

Very Complete, but is an advanced course, not for beginners.

By Konstantinos R

Dec 1, 2019

Different from the other 3 courses but extremely interesting

By Swarn

Apr 29, 2020

Thank you for putting together this amazing class.

By Robert N

Dec 21, 2019

Interesting and very useful!


Jun 16, 2021

Excellent work!

By Chan C

Nov 23, 2020

Picked up interesting insights how alternative data sets can be used for asset management. Covered a lot of different data sets and how they can use used to create features for machine learning models to consume. Significant self study and readings for students to understand and appreciate the lab sessions.

By Daniel A C C

Sep 15, 2020

It's a good course, a practical course. However Python lessons are not great as they are in module 1 and 2. I recommend it since it's going to give you a good financial and portfolio management background and understand (not as an expert but understanding the basics) how all that theory works in practice.

By Mirkamil G

Apr 21, 2020

Really interesting and differnt view pot of financial world, both theory and Lab parts are well prepared. But, I still recomannd to add more progamming questions in the Quiz, than students would able to learn more by doing more!

By Georges A

Apr 4, 2021

It is a course that is relevant in the series, despite the inherent difficulty to quantify this alternate information into valuable data. In the end, it feels somewhat more like art than science. Still interesting.

By Luc T

Feb 18, 2021

Great overview on Alternative Data types and usage techniques, with useful libraries description in Python. Lack of some explanation / more details on the integration of alternative data sets in financial models.

By Hector B

Jan 29, 2021

Very good theory and practice. Only comment is the lack of a connection of the quizzes to the notebooks, more questions related to the notebooks would be very beneficial.

By Rubens P

May 15, 2020

Good course with great practical content and insights into alternative data sets. I would have liked to see some more involved textual analysis techniques.

By Kostas T

May 5, 2021

Really good! Using real-world dataset and professional experts in the finance industry , unfortunately no live coding but good explanation of the code

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 Steve B

Dec 27, 2020

Interesting course and good worked examples in the included Labs.

By Elizabeth C W

Sep 30, 2020

enjoyed the lab sessions!

By Morten F

Oct 4, 2020

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

By ruhiye k

Oct 2, 2020

terribly boring make!