There is such an incredible amount of useful information in the course. The information is paired with exceptional professors who communicate it extremely effectively. The lab sessions in this course are incredible and serve as a guide to implement techniques learned in the course (and to build on them) on new datasets. Thank you so much for putting this course on Coursera!

Very Helpful. I studied most of the course arguments during an MSc in Finance, but I had not the knowledge to apply them in practice. This course helped me reviewing the basic mechanisms of financial analysis and portfolio construction with real data and eventually gave me a framework to apply them practically with python, which is the real value-added of these lessons.

This course of a good mix between theory and practice in Python.

The real market data files enable to illustrate the concepts to better understand their meaning.

The Python code provided by the EDHEC to handle the data, compute key indicators, display plots are very meaning ful.

The introduction to simulation is powerful to manipulate new data and test hypothesis.

From the financial point of view the course is excellent, but it also teaches very, very well a bunch of good stuff in python. In fact the main reason I tool this course was to learn how to program financial functions in python and in that sense I can assure this course made an unbelievably good job.

Thanks a lot to Lionel, Vijay and the staff members of the forum.

Excellent course! Finance and portfolio analysis in practice using one of the best and highly approved programming language. Wonderful tutors who combine both theory and practice. Having an MSc in finance, I assure you that this course is a must for who would like to improve her knowledge in portfolio management. Definitely worth your time and effort!

It's a great hands-on course. I've learnt a lot specifically how to refine the stock return statistics with Cornish-Fisher model, how to implement optimal portfolio, and Liability Driven Investing. Thanks a lot to the 2 course Instructors who've made great efforts in designing and delivering the course in such a way that it is easy grasp and follow.

Fantastic hands on course on working with Python and financial information and modelling. Will definitely recommend this course to anyone technically capable and interested in portfolio management. Vijay was an excellent instructor with clear direction and explanations and his "mistakes" were even more insightful as he explained the common gotchas.

Great course all-around. Extensive materials in both the theory and praxis. I really liked the code-along lab sessions (which are 100% bug free) and the exams, as those require you to actually perform calculations instead of just reciting parts of the classwork.

This course teaches a lot more than any other MOOC I have taken thus far on coursera.

Thanks to the instructors Lionel and Vijay and to our peer Emanuele Chini in tests and general support questions.

Great course! fundamental theory is clearly explained by Lionel and Vijay just takes amounts of knowledge down to the earth so it is easy to learn not only Python but the over financial theory about portfolios. Highly recommended!!!

I started the course with the hope to get up and running with python application to Finance. I must say Dr. Vijay has exceeded my expectation. I have now developed more interest to completeing the series in this course.

I say a big thank you to Edhec Business School for the quality course. To Dr. Vijay, see you soon in the next course!

Very good course. Good mix of lectures and lab sessions. Despite having programmed in python and using numpy and pandas in the past, I learned a lot in the lab sessions and really enjoyed the hands on nature of them. I learned ideas that I feel I can actually use for my personal financial planning. Highly recommend doing this course!

This course was great but I must admit that the last week was difficult to follow, too much content albeit very interesting. Also providing the toolkit free of charge for our own use is fantastic, and also allows to harness a modern approach to financial modelling beyond the outdated spreadsheets. Greatly recommended.

Great course for the money paid. Have lots of resources to follow. However, not much help from the instructor, but compared to what we paid, what we receive from the course, the instructor's prepared resources, and coursera is immeasurable. Thank you coursera and the instructor for creating this beautiful course.

I have been doing portfolio risk analysis using GNU R and have been looking for a good introduction to Python. The covered Python content is a great introduction to portfolio construction and analysis tools. Also the balance with the lectures is good. Looking forward to the advanced topics in the next module.

The course is really nice. I have learned many interest thing about python programming and investment management. Especially, the ipywidgets is an impressive tool. The portfolio construction techniques are presented in a very comprehensive way even to somebody who is not familiar with financial analysis

Amazing instructors that provide an fresh and updated view on both risk and portfolio thinking. They incorporate the scientific thinking and computational power of python to provide the student with both the understanding and the tools to produce independent and insightful analysis. 100% recommend.

Lionel step by step explanations makes it easy to follow and understand the main idea of the course even though the complexity increased towards the end. With Vijay's guide on analysis with Python, the course is easier to understand. The use of Python makes it easier to create many scenarios.

Very well explained, especially for me who was completely novice to Python.

I also came to love the accent of my fellow citizen sir Martellini. Overall, it gives a very good insight over the topic and I would strongly recommend this course to anyone who wants to better understand finance.

The course exceeded all my expectations. My profound gratitude to both instructors for democratizing education. Only through such platforms can students of knowledge acquire the best and most contemporary knowledge in their fields of interest. Thank you Coursera, for making it possible.

Fantastic course with a very good pace. Lectures are pitched at quite an advanced level so a background in finance is very helpful. The compbination of labs and lectures is excellent and the quality of the Labs in particular was superb. Supporting documentation was also veruy useful.

This is a fantastic course. It is a great way to learn relevant concepts in investment management while gaining good exposure to Python and relevant packages such as Pandas. I've been in the investment industry for nearly 20 years and still found this course to be time well spent.

A complete introduction to the modern techniques of Portfolio analysis from the Markowitz theory to the recent LDI model.

It is not a basic level course. You should already posses a good knowledge about Python and have a good idea about how financial market works.

Very recommended!

This was an excellent MOOC. Very well organized with a healthy mix of theory and practice. The hands on labs are very well explained step by step. Highly recommend this series to anyone wanting to learn about portfolio analysis. Looking forward to the next courses in the series.

Plenty of concepts that can help the beginner-intermediate finance professional. Lab sessions were great at developing python and finance skills. Use of python was very adequate for calculations that are tedious (e.g. Monte Carlo analyses or duration calculations).

Finally i was able to replace my 12-tab excel with a jupyter notebook and a libraries.py!

I recommend going through this course while using your own broker's APIs to get the most out of it. Looking forward to more papers and advanced lectures ahead!