Very good!!!

awesome!!!!

Its amazing

Excellent!

Great ¡¡¡

Amazing!

nice

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 first course contained much more relevant code to the theory, but basically it is very informative and I know this leds to a higher purpose (next courses). I like the style of the instructors.

Great course, but I missed the detail provided by in-depth tutorials lab sessions during the first course. The labs were still very good, but took a bit more self-teaching than in MOOC 1.

very good quality, covers very in depth knowledge in portfolio construction, but I find the python part is a bit challenging unless you have good command of python programming.

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.

Great course. I would have appreciated a little more discussion on the implementations of the various methodologies in practice.

Learnt a lot about portfolio construction and python!