More focus should be given on application part in initial modules vs. derivation. Also, the presentation can be made a bit more simple to understand.

This course is really good for recapping what you have learned before. It would be a difficult course if you start it without previous background.

Some stuff are treated briefly but overall is a good MOOC, well organized and gives good hints to deal with econometrics problems.

I'd be happy to have more practical excersises during the course instead/together with formula transformation tasks.

Very nice MOOC. Found it a little too theorical, but it was very usefull to put in practice my econometrics skills.

Very informative and technically coherent.

My only suggestion would be to provide software codes with solution.

The level of this course is high. It's better to take a basic course on Econometrics and then take up this.

There was a drastic increase in difficulty in week 6 and 7 from the rest of the course.

M​ore about mathematical applications than econometrics.

Lecture materials are very rich and well organized.

It is a good course, but a bit short in my opinion

Awesome, helped me alot! Thanks MOOC cordinatiors.

many mistakes in the exercise solutions

Great. Applied knowledge focus.

Less practicals involved

where is my certificate

Excellent Course!

nicely explained.

With this course, I have definitely expanded my horizon of knowledge. Having completed it, I feel accomplished. At the same time, looking back, there was not clue that more than probability and statistics knowledge is needed - one has to be already familiar with econometrics and modeling. The learning curve is very steep and lectures are describing on the high-level scope of the further reading to be done to be able to solve assignments. Having technical background, I felt very much behind - just until the time when I found some relevant information in the lecture notes on Advanced Econometrics for PhD students. There should be a warning about such prerequisites!

I was somewhat disappointed with the quality of the solutions to the test exercises and the case project, which were handwritten and provided little in the way of further guidance about the solutions. I would have expected a more polished product. I think the course might also benefit from providing suggestions for further reading on certain subject or links to online resources that the student could refer to.

This course will be a good revision if you have known the models before taking it. But if you are new to the models, you may not really understand them. This course tells you which models to use and how to implement, but does not tell you the rationale behind (maybe the theories are too difficult).

The teaching staff are really helpful and answer every question you raise in the discussion forum.

The content is above average but the instructors are below average. Content is delivered in boring monologues. Also, as the presentations of the course contain little information, advice the instructors to create course lecture notes (documents) to help learners review the contents.

The proofs aren't as clear as I wish they were. Lacks a lot of explanation and a lot of practice questions in between are from those proofs which gets hard

Generally speaking , I have to say that it is good course , I learned many things. More explanation should be provided for some concepts.

Some of the terminology doesn't seem congruent with what we use in North America