May 27, 2020
Enjoyable course. One has to be conversant with basic Phyton to follow this course. What I learnt the most is the ability to use Phyton coding to demonstrate the concept of portfolio investment.
Mar 08, 2020
One of the most hardcore, challenging but knowledge-harvesting courses that I ever had.\n\nHighly recommend, and you will be better off if you type in all codes VJ did simultaneously.
von Benny P•
Nov 27, 2019
Coming from programming background and being less theoretical, I have mixed review about this course. This course is taught by two instructors. The theory, taught by prof Lionel, is not really clear for me. The math has gone too far and too deep and overall they made things more complicated than they should. I often had to resolve to external sources to understand what the topic being discussed. The lab sessions, taught by Vijay, on the other hand is very enjoyable to follow. It's clear and clarifies the topic being taught. Vijay is not just some financial engineer that can code Python. He's very good at it. Even I with 5+ Python coding years have learnt many new tricks from his videos. Coming to the week four however, things went downhill fast. The theory is too abstract, while the videos are just too long! I think we have two or more videos with around 1 hour duration, and this is just too much.
von Lyle D•
Oct 26, 2019
Currently half-way through the course. I am really enjoying it. I am learning a lot about portfolio management and python, which is the best of both worlds for me.
The professors are excellent. Dr Vaidyanathan's lectures and labs ensure that the student learns the material and his love of the subject is infectious.
von Leo L•
Dec 12, 2019
This is one of the best online courses which combines the knowledge of Finance and Python. In fact, with python as a tool, I can have a better understanding of the theory behind it.
von Asif R•
Jan 04, 2020
Very Useful course to have a hands-on understanding of how to apply Finance concepts in investments through Python. Lectures are provided in a very succinct manner and the lab sessions are fluidly constructed. Plenty of useful python codes will get compiled in edhec_risk_kit for future use.
Mar 08, 2020
One of the most hardcore, challenging but knowledge-harvesting courses that I ever had.
Highly recommend, and you will be better off if you type in all codes VJ did simultaneously.
von Alexandre M•
Nov 25, 2019
Very useful course. Both teachers are good to transmit their knowledge at a decent pace. the balance between theoretical courses and labv sessions is perfect.
von Viktor R•
Jan 17, 2020
Loved it, one of the best courses I have ever taken. Only wished I had more time to spend on it, limits of what you will learn are mostly upon yourself.
von javier m•
Nov 17, 2019
Great course will continue with the rest of the courses
Jan 26, 2020
This is an excellent course on employing Python to make asset allocation decisions. The concepts are well-explained and the pace is quite brisk. A student can really benefit by following and redoing the Python code themselves.
For that, I would highly recommend going through the excellent Numpy, Pandas tutorials on the Enthought youtube channel, before the first week. Secondly, the course expects an understanding of Asset Allocation concepts, and it will be prudent to read up on 'Modern Portfolio Theory: Efficient and Optimal Portfolios' before the second week.
I admit that I cannot write the sophisticated code for last modules (Dr. Vijay Vaidyanathan made it look as effortless as reading a newspaper), but the course has given me the confidence that I can do that after coming up to speed on Python.
That is also my suggestion for improving the course that maybe some of the more sophisticated techniques be pushed out to later modules while building up python and asset allocation knowledge in the first module.
After finishing the course, it's quite satisfying to examine the mutual fund results, and understand how they were generated or how target date funds work or what's the logic behind the 60/40 asset allocation portfolio.
von Sidhant M•
Apr 19, 2020
One of the best online courses I've taken. It is the first I've actually completed in a while. I would mention a special word of appreciation for Dr. Vijay, his Python Lab sessions are probably the best way to learn to program for a beginner. In just a 4 week module, the amount of content covered is immense considering the course starts with the assumption that the viewer has zero knowledge in the language.
This course is the gold standard by which I will benchmark other courses. The learning I've gained from this course is beyond my wildest expectations. I'm only curious to know there's so much more this field has to offer!
von Serg D•
Nov 19, 2019
This was a great course, really good materials, great exercises, no unreasonable tasks. Great introduction into Python in finance. One thing I would say that this course is not for beginners. Prior Python knowledge will be highly beneficial. The reason why I am giving 4 is due to the lack of support in forums.
von Eduardo d M R•
Nov 18, 2019
Risk Kit code needs revision from instructors! Also, it would be nice to have some feedback regarding the graded quizzes and a bit more presence on the forum. Overall, a very nice course to be introduced into Portfolio Management: would recommend with caution, nonetheless.
von Jerry H•
Apr 29, 2020
Really enjoyed this course and found it extremely useful, from a couple of perspectives. First, the alternative perspective of managing your portfolio to meet future goals / liabilities as opposed to just return seeking was helpful, and secondly providing the construct of dynamic allocation between a performance seeking portfolio and the liability/goal hedging portfolio to be very useful. I particularly enjoyed the lab sessions that where very helpful in developed a basic understanding of the algorithms to build the code to implement the concepts in practice in my own portfolio. And as a secondary benefit, as someone who enjoys coding, I really benefited from seeing the approach to coding an application and learned a few neat tricks / capabilities along the way. I came away with a new appreciation for python and indeed Jupyter Notebooks / Lab, as I must admit I had fallen into the R camp. Look forward to taking the remaining courses.
von Hong M•
May 11, 2020
Thank you instructors for the fantastic teaching with profound financial principles and advanced Python techniques to make our learnings and programs applicable to present market analysis. Although it is very challenging to make all programs work well when Python version upgrade/changes, it is worthwhile to learn new things, improve Python coding skills and strengthen finance investment skills. Honored and blessed to learn a lot from this course and also from the forums of friendly classmates. Would recommend surely! Best Regards and Blessings.
von Fabien N•
Jan 21, 2020
This course is one of the best course I ever took on Coursera (I have completed about 20) !!! If not the best ! The lectures are clear and the lab sessions are very helpful to understand concepts and use them by digging into the implementation. And Python notions are given along the way, which makes you feel that you are following a finance class and at the same time learning new Python features smoothly ! The last week of the course was slightly less clear and thus little bit harder, but I totally recommend this course !
von Kai C•
Feb 09, 2020
Both two instructors are really good, patient, detail-oriented, and knowledgeable. This course is quite useful for you to gain skills in Python and its associated popular packages such as Numpy, Pandas, and Seaborn. Portfolio strategies such as CPPI and LDI are quite important and are introduced fully here. The course however takes a bit long time to finish, if you really want to make the most of it, because you must follow the long-hours labs. But I think it is worthy to spend such great amount of time.
von Chan C M•
Jun 27, 2020
I like the layout of this course and the way VJ laying out his mistakes. Really help a lot for my programming and I am no longer afraid of errors. I also like how the instructor taught about liability-driven investing and how they combine the theory with the lab sessions.
One suggestion is that the course materials can be designed to teach students how they can come up with the functions. I perfectly understand how the function works but I could never come up with the functions myself.
von Runar A Ø•
Dec 12, 2019
This course is very well presented and gives the reader the necessary practical skills. After short theoretical videos, most of the time is spent implementing the models in Python, and gradually building a module of functions used for constructing portfolios and visualising the data. Some of the Python code is not completely elementary so I would advice you to spend a bit more time and code everything yourself line by line and understand what's going on.
von GAUTHIER P•
May 01, 2020
Very useful course with state of the art financial theories as well as programming practical use. I learned a lot both in finance (especially Chapter 3 & 4) and in Python in an easy and agreable way. I will be implementing a CCPI strategy in my personal portfolio soon thanks to the very useful edhec risk kit developed during all the session labs. This format is well made and makes it really fun to try and test the code for ourselves, which is rare!
von Vadim T•
May 11, 2020
Vijay is one of the best professor that I have had pleasure to listen to. He does not only explain coding, but also unwraps the ideas which make financial predictions and simulations possible.
Quizzes are very easy, though, and are based on the code developed in class. I would appreciate more challenging assignments.
Nonetheless, I learned a lot and I am very excited about the next class in this specialization.
von Francisco S•
Feb 09, 2020
The course is a great balance between theory and application. The content overall is great. I really enjoyed the emphasis on python implementations of the concepts taught. It is rare to find a course that has good theory AND good coding practices for data analysis. The instructor makes use of the libraries commonly used in industry (I work as a data scientist in a US startup). Highly recommended!
von Rehan I•
Mar 30, 2020
This was an amazing course! The lab sessions are the key - I feel I will have a hard skill to take away from this course and code I can re-use in my career. Vijay in particular is an excellent teacher and makes sure you understand every step of the code. Where I didn't understand something, I posted in the discussion forums and got a really prompt reply that cleared things up. Thank you.
von Alfredo H•
Apr 12, 2020
Excellent Course! At the same time, I have a Masters in Finance there where additional topics that I had not covered in such detail in the past while introducing fundamental skills for python in finance in detail. I would suggest to anyone taking this course to have a strong fundamental in finance already as some of the topics can be confusing if you have not seen it in the past.
von Daniel T O•
Jan 27, 2020
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!
von Yoon-Kit Y•
Jun 09, 2020
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.