It was a good course overall but I would highly recommend either reducing week 4 or adding a week before week 4 to explain certain concepts. Transitioning from week 3 to week 4 was difficult and a lot of new things were introduced.

A very robust curriculum with good coding instructions and explanations. It is helpful for even someone who has not any portfolio construction experience. But definitely need some level of understanding of the financial market.

The week 4 content is not as applicable as the rest, especially some code does not work well at my side. So it took me extra time to complete the course. But I generally enjoy it and look forward to continue the learning.

It's really good since it combines portfolio theory with practice during the lab sessions. I would just like some more practical ecercises with the answers in order to get confident with the lab sessions.

I think it gives you an excellent introduction for the portfolio analysis and improvement of your programming skills. However, you might have a solid knowledge of some mathematical concepts.

The course is great, I enjoyed very detailed Python labs, they taught me a lot. But almost no support from the staff in the forums. If you don't understand something, you are on your own.

There is a tremendous amount of material to be learned in this course and it is quite challenging material but for anyone interested in this topic I think the instruction is excellent.

Very useful course that covered some simple investment strategies and taught you to implement it using python. Recommended to those who want to enter the quantitative investment world.

I am grateful for bọth EDHEC and coursera help and supports. After finishing this course, I am now able to write some codes and I also know how to build a nice portfolio for myself.

The course is extremely useful. I understand more the investment strategy. I'm able to use python for data process. It's really convenient as compared to excel in simulation.

I found this course to be a great mix of programming and investment management principles. Both instructors did a good job of making the subject matter accessible.

Great course. Professors explain very good. You will learn new things about python coding and definetly about basic portfolio construction and how to enhace it.

Really challenging and informative course. Assignments are a little bit frustrating and time-consuming offering a lot of learning opportunities.

There is some outdated information in the code part, so the programming may have some errors occurred, but the remaining is informative.

The theory lectures are a little thin. The python labs are very good. Learning would benefit from some exercises following the labs.

Practical labs are very good though sometimes it rushes a bit.

Lectures can have a bit more details.

Overall it's a good course.

This course is not at all an Introductory course. It is quite advanced and requires a decent level of commitment to keep up

A bit quick in the later part, but overall gives me the knowledge of finance theory and hand-on experience in coding.

A very beginner friendly course with more a lot of focus on financial concepts and how to execute them using Python

it would be great if this course could be splitted to 6 or 7 weeks; the session of each week is too long now

Very interesting course on portfolio construction with enthusiastic and passion-driven teachers.

Really great teacher and extremely clear. Wish there was more emphasis in learning of python.

awesome course! The labs are really good. Maybe the lectures should be improved.

Very informative, though a bit of a mismatch between labs and lectures.

Excellent content ... the dates assigned for completion are short