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.
Was pretty informative, especially getting to see and understand the techniques that large hedge funds might use to determine their investment strategies.
by Thanh D L•
I enjoyed the course. Useful introductions, codes and real-world applications of the codes.
by Boya S R•
Learnt many use cases where machine learning is applied in Finance & Investment domain
by Luca D•
The most interesting course I have attended for data analysis so far
by Sebastián H•
Very Complete, but is an advanced course, not for beginners.
by Konstantinos R•
Different from the other 3 courses but extremely interesting
by Francisco V A•
Very comprehensive, hands-on course. Strongly recommended
Thank you for putting together this amazing class.
by Robert N•
Interesting and very useful!
by TAN L Y•
by Abel G•
by Chan C•
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•
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 M. W•
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•
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•
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•
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•
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•
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•
The content is really great, but it would have been even better if the code and applications were explained in somewhat more detail.
by Palito J E•
Great course, combine state-of-the-art Python and machine learning, with the theory and practical test of investment management.
by Jean-Luc B•
Good course and interesting topics but I guess the quizzes should test the capacity of the students to use the notebooks.
by Eran I•
Great course, lots of lab session. I was missing some hands on exercises experiencing the data
by Andrea M•
The course is fantastic. The only thing I would add is a session of practical tests.
by Steve B•
Interesting course and good worked examples in the included Labs.
by Elizabeth C W•
enjoyed the lab sessions!