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

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

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

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

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

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

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

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

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

Different from the other 3 courses but extremely interesting

Very comprehensive, hands-on course. Strongly recommended

Thank you for putting together this amazing class.

Excellent course with top content!

Interesting and very useful!

Great initiation courses !

Excellent work!

Great

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.

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.

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!

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.

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.

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.

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

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