Opiniones y comentarios de aprendices correspondientes a Advanced Portfolio Construction and Analysis with Python por parte de Escuela de Negocios EDHEC

I really enjoy this course. I found it a little less exciting that the previous one, but still the course does a very great job at explaining advanced notions is a simple and structured way. I've got a bit of problems with the simulations of Week 3, but otherwise it was very clear and a great pleasure to go deeper into these notions, as the course helps us to do with nice references.

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

Very good course like the first one, but It has some problems in the week 3 and the student questions have not been answered yet, even so it is a great course, it will help all investment proffessionals. Additionally, I think the method used in the labs in the first MOOC was better, I prefer write the code while the proffessor explains it.

The lecture content of this course is great, which covers lots of intuitions. However, the quiz is a little disappointing. Some of the answers are wrong. In order to pass the quiz, people need to search in the forum and find ways to calculate "the numbers" (that are essentially wrong, but produce expected "answers").

It is a very good course. However, the errors in week 2 and 3, and the new methodology for lab sessions, are not that good. I really enjoyed having a lab session per topic and Dr. Vaidyanathan live-writing the code in front of us while explaining. Thanks for all the knowledge. You're doing a great job.

This course was useful in understanding the details of constructing portfolios in terms of covariance and expected returns estimates. I think this course compared to the first part of the specialization is more relevant to institutional investors rather than individuals

I liked that the quizzes required a greater understanding of Python, however I wish the instructor moved slower through the labs; I also would have appreciated more labs to hammer home an understanding of more of the taught concepts. Overall good course!

The course is great, the professor will walk you through different asset allocation models and provide the python code of the model. The code part is quite useful, but when it comes to quizzes, the instruction is not that clear and sometimes wrong.

The concepts are easy to understand, the teachers explain very well, at the end you have more tools to improve the generation of portfilios construction.

Very good in depth course extension from the first, however, would appreciate more applications and deeper applications of introduced investing ideas

Great and interesting course like MOOC 1, but it would be great if the code would be explained a bit more in detail like in the first MOOC.

Sometimes the material covering the python code is insufficient. Maybe provide additional learning resources just for the python portion.

Good theory and practical exercises. The presented code can be a little confusing depending on your previous frameworks you have used.

This is an excellent course for anyone in finance, especially Portfolio and Asset Management professions. This particular segment is the 2nd of 4 parts of the "Investment Management with Python and Machine Learning Specialization".

Unfortunately, the code instructor dropped the ball in this part (compared to the first, "Introduction to Portfolio Construction and Analysis with Python"). The coding lab sessions were app 1/3 the length of Part 1, but the code is much more challenging in Part 2 (and more, not less, instruction is necessary). The instructor briefly skims over a previously completed python workbook, then asks the student to "play around with the code" in order to fully comprehend it. This is rather insulting to many - as indicated by Discussion Forum Comments.

Also, the quizzes contain a number of mismatches between the Python Function library (known as the Edhec Risk Kit) and the questions. The person responsible for answering student questions barely does so with adequate thoroughness and has failed to update much of his erroneous suggestions. I recommend the original instructors commit to fixing the many holes here, and consider assigning a more helpful person to the Discussion Forum - Emanuelle doesn't cut it.

The Python code instructor also should re-record videos for this section - so that we don't need to "play around with his code" in order to understand it.

I loved the first module of this specialization. I think it does a great job setting up the foundations for portfolio analysis and I gave it 5 stars. I actually decided to complete the certification after the first module.

I still intend to complete the specialization, but I didn't like this module as much. I think the lab sessions are too shallow. "Play around" doesn't really cut it as instruction. There's a big gap between the lab sessions and the exams that are actually quite large for non-programmers. I would really like Vijay to spend more time playing around with the data rather than letting us figure stuff out on our own.

Overall my feedback is that this is a good course for programmers trying to become financial analysts but not so much for financial analysts trying to hone their technical skills.

I would have given 4 stars had it not been for the quiz of Week 3. Students will see the forum, because it's just impossible to pass. I strongly recommend EDHEC to revamp the entire Week 3 training.

The course are really great but the lab session are really not clear, leading to quiz confusing and giving the feeling that we are completely lost

Quite a few mistakes in the course content.

awful, not recommend