AT
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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.
PE
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Great course, combine state-of-the-art Python and machine learning, with the theory and practical test of investment management.
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