This is an excellent course covering different approaches to portfolio construction with emphasis on both theory and practice. The Lab sessions covering coding in Python to translate theories in to practice are very informative and useful. Anyone interested in the topic will enjoy this program.

Just WOW ! literally the best programming-finance course you could take . Extremely enriching and all concepts have been put into practice . and words fail me to describe how well the instructors explained these concepts . Dr.Vijay and Dr.Lionel are simply heroes ! Thank you ...

The course is great, its combine the teoritcal approach with an application in python. And compare the backtest result from the portfolio constructed within the different scenario. I guess it would be valuable both in career progression, or for personal portfolio construction.

It was an incredible and very rich course, the only thing that I'd add is the math behind the optimization processes, like the original quadratic program on the Equal Risk Contribution weighting and other custom weightings that may be hard to follow only with the Python code.

Absolutely enjoyed the course, learned new concepts and new perspectives on methodologies I already knew and used. Would have like to see them go a bit further into more advanced portfolio construction techniques. One more week building on week 4 would have been great.

Very well-structured MOOC. Both Lionel and Vijay are the best! The course program and material are very well organized and covers each objective in detail. They could create a good balance between Portfolio Risk Management theory and practical application using Python.

Brilliant course and I would highly recommend to anyone seeking an overview of some reasonably complex aspects of portfolio construction explained in a very intuitive and approachable manner, reiterated through detailed practical examples in the Python lab sessions.

It was a well organized program with extensive discussion, and explanation of the logic and process of programming. The lab session was excellent with details. I recommend the course to anyone interested in improving their understanding of the subject.

An excellent course, it strikes the perfect balance between theory and practice and one gets a thorough perspective on portfolio construction. The best part was the easily applicable software, that one can almost directly apply to his own datasets.

Loved every bit of the course, the use of python greatly enhanced the experience both in learning the concepts with granularity and how to employ the concepts learnt here in real world. One of the best course i have been through. Thank you!

Again, Excellent Course.

Very useful python codes at your disposal.

Quiz are well organized that you cannot just copy and paste the codes you learn, but it will test whether you can apply what you learn to solve the advanced problems.

Es un curso muy bueno además de que tiene el nivel justo entre lo complejo que se puede volver el pasar los conceptos a código pero combinado con la explicación entre las sesiones de laboratorio y las clases

Thanks to the professors I now have a better understanding of portfolio construction, in particular factor investing, black-litterman model and risk parity and I am now able to apply these models on python.

this course contains very interesting and useful tools for portfolio management that sometimes are difficult to learn or teach in a single university course. very interesting growth experience.

This course gives a good understanding of Fama-French, GARCH, Black-Litterman and risk parity models among many others, not only theoretically, but also through hands-on Lab sessions.

This course teaches a great approach to portfolio construction. Crisp course content makes learning even more convenient. My sincere regards to the team behind this noble task,

Great course, nice balance between the theory (which is well explained) and the practical (python jupyter notebooks where you need to explore to gain a good understanding)

Really appreciated from both of the instructors, from thier very high level of theory and practical programming skills. Hoping to use these khowledge in pracsis some days.

Fantastic portfolio construction techniques, although black letterman model could have been explained better . Overall great course with real world financial applications

It's very powerful course. The course taught portfolio analysis with practice using Python, so I learnt portfolio analysis knowledge and Python coding simultanepusly.

This is one the best course to learn how to implement portfolio optimization in real world. Thank you Edhec Risk Institute and Coursera for such a beautiful course.

Another excellent course. One thing I would have liked to have is longer lab session videos like in MOOC 1 to ensure we can re-create the notebooks as we go along.

Really a great course, instructors video then are a great resource. I'd have liked more mathematical analysis but I understand it could have gone beyond scope.

An in depth explanation of factor models and alternative measures of portfolio diversity, with excellent explanations of the accompanying Python notebooks.

Very good course and well taught. Vijay and Lionel are great communicators. I have enjoyed the course a lot and learned a great deal. Thank you both.