Bieng

good

Overall an excellent course. I am an experimental physicist and was comfortable with the mathematics and programming part. Definitely others with a background in maths/physics/economics/engineering etc. will not be daunted by the equations. The course covers the basics of finance very well in the first two weeks with a gradual increase in the weightage given to python learning in the first threee weeks. However, the fourth week seemed a bit too heavy in the finance part. To me, it felt as though the student already has an elementary background in bonds and liability driven investing. Maybe a little more explanation of these concepts could be better.

This is a high quality course with top material included!

The skills are relevant for the industry.

The course is also interesting and fun to take.

I have only two comments for thought:

Instead of copy pasting in some videos, a more thorough explanation would be nice and

some strategies require essentially continuous rebalancing something that cannot happen in practice. So it would be best if strategies allowed for less frequent rebalancing.

We can of course build our strategies to allow for less frequent rebal, I am just saying!

Nice course that brings to life real-world applications of Python in the context of institutional investor's portfolios. Requires a background in investment management basics (e.g. discount rates, portfolio analysis) and is ok for Python novices, like me. I found the course especially interesting in the last part, when LDI modelling via Python was presented. At the same time, the Python part feels a bit rushed in this last chapter, although a lot has to do with my beginner-level knowledge of this programming platform.

The instructors have done a great job at helping learners gain hands on experience with rather sophisticated investment management techniques. However, illustrating the practicalities of portfolio construction and insurance came at the expense of only brushing on the theory behind some of the notions introduced. Maybe it was meant to be this way but I would have loved to see more analysis of CPPI and the pricing of ZC bonds under CIR model.

I think this is a good course! THe thing that I like the most ist that Vijay gets stuff wrong live, which is in line with your experience as a coder.

There are two things that I don't really like. You almost need a pre-course to know how to manage Python. And the exams are super difficult, particularly the coding related questions. Probably intermediate homeworks would be in order.

Main concepts in portfolio management were well reinforced with relevant coding applications. The only drawback was that some of the code needed a bit of massaging to execute correctly. Example: an index was used in a calculation when it needed to be converted to an array for a defined function to return a calculated value. Nonetheless, a great course.

An excellent introductory course module-1, with excellent instructors, help you build basic foundational skills in portfolio construction and analysis. My feedback would have been all five-starts if the last lab had used the real-time S&P500 or ASX100 data to demonstrate portfolio construction and analysis. Hoping module-2 may be the case!

Well-constructed course, right balance between theory and lab sessions. Lab sessions thoroughly detailed, which is really a forte. The 5th star is missing because of a few frustrating problems with automatic interpreting of answers in quizzes and because of the lack of (quick/relevant) responses or answers of the moderators in the forum.

The accompanying materials were incredibly well organized and helpful and the coding walkthroughs were great for beginners. However, I'd argue that some of the topics covered were not very mainstream as far as finance concepts and I had trouble finding further information on them outside of the course, which was necessary in some cases.

Nicely balanced between financial theory and programming in Python. Working through the topics by coding them in Python made the financial conception much more approachable and easier to remember. Leading approaches to portfolio construction and learned new concepts about best python practices. Recommend this course.

Quite interesting course for a person who has no idea what investment instruments are. However for same kind of person it lacks more practical part as to how to build portfolio (tools, platforms, time-related plans)...

Definitely recommend for all beginners

Designed by a top-tier Business School (EDHEC Business School) and taught by top level Professors (Lionel Martellini and Vijay Vaidyanathan) provides a high quality technical knowledge on portfolio construction, leveraging Python programming language.

A very well paced and detailed with respect to the Coding side, the Finance side can be bit short for someone who has not heard some basic terminology. Overall very good course for someone who wants to start with Asset Management using Python.

I found the course very interesting and educational. I think the course could be improved if the labs were more intereactive (e.g perhaps a concept is explained and then there is a pause for the user to attempt to write the functions first)

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.