awesome

good

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.

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.

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.

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.

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.

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.