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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

4.4
stars
229 ratings

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

KU

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Great lab sessions and very well explained theory. Delivers strong intuition to the student.

HE

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The course provides a different perspective and broadens one's horizon in asset management..

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26 - 50 of 60 Reviews for Python and Machine-Learning for Asset Management with Alternative Data Sets

By HP F

Jun 8, 2020

I liked the lab sessions a lot - this as very useful! The presentation of the research papers was a bit shallow.

By Ashish K

Feb 10, 2022

excellent course and the style of teaching was best amongst all the courses in the speacialization.

By Hilmi E

Jan 17, 2021

The course provides a different perspective and broadens one's horizon in asset management..

By Kasper U

Jan 3, 2021

Great lab sessions and very well explained theory. Delivers strong intuition to the student.

By Camilo R R

Apr 14, 2022

Its an excelente course and it gives you a different view of the data for asset management

By Thanh D L

Jun 23, 2021

I enjoyed the course. Useful introductions, codes and real-world applications of the codes.

By Srikaran R

Jul 31, 2020

Learnt many use cases where machine learning is applied in Finance & Investment domain

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 Francisco V A

Jul 13, 2021

Very comprehensive, hands-on course. Strongly recommended

By Swarn

Apr 29, 2020

Thank you for putting together this amazing class.

By Ahmed R

Feb 6, 2023

Excellent course with top content!

By Robert N

Dec 21, 2019

Interesting and very useful!

By Martial A

Dec 21, 2023

Great initiation courses !

By TAN L Y

Jun 16, 2021

Excellent work!

By Abel G

Jul 8, 2021

Great

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