It's decent for what it is - a course trying to balance theory with practicality. However, it uses R for the target implementation environment. That's fine, but as a matter of taste, I prefer python. Therefore, for me, the practicality aspect of the course wasn't the greatest, and that was its main selling point.

It is in R, making it rather limited for applications in industry, however using Python's statsmodel you should be able to keep up with the notes.

I was expecting a lot more theoretical explanation of the concepts rather than just demo'ing some R code and fitting some libraries to data.

If you want to see a whole lot of proofs and have someone tell you complicated things are really simple and obvious, then this is the course for you. I wanted a class to teach me how to do the tasks at work. It spent a little bit of time on that and a WHOLE lot of time on the proofs.

It was definitely a gentle and accessible introduction to time series analysis. I was hoping for something a little more comprehensive and challenging, however, and sound quality was sometimes poor. This would serve as good preparation for an introductory course on time series.

Overall, this is a good course for beginners in time series analysis.

However, I wish they had go beyond the basics. I missed more advanced content, discussions between different forecasting techniques, multivariate forecasting...It is pretty basic.

Very interesting course. For a 'practical' course, I did find it rather theoretical. Also, some links to downloadable data are missing and there are some small errors in the R scripts that are offered. Nonetheless a good course, I learned a lot!

The coding for the steps confusing and can follow how the tutor explained. I would like to suggest for the course coordinator to create a document on steps with coding for each model or test we want to run. Thank you.

Good/thorough introduction to moving average, auto-regressive, intetgrade, and seasonal models as well as basic forecasting. Some of the labs don't work, as well as links, and the organization is messy in places.

If you have non-technical or not much aware of stats, you will probably face problems understanding the equation algebra. I think the tutor has to explain how to calculate with a manual example.

I was interested in learning more about situations where one time series affects another, on which there was no content. Somewhat disappointed by that. Very rigorous, apart from that.

While professor Thistetlon gave the classes in a way that kept my attention,Prof Sadigov wasn't so good at it. Clearly he know a lot but not as a teacher.

Would have loved more work with the ready made packages, I feel like I still can't master using them in R, although I did understand the material.

good, but not great. needs more explanation about the intuition. needs a lot more exercises. needs to cover more topics.

Instructors are good but as per the title this is not more than 30% practical Time Series Analysis

A lot of the lab content links and library in the codes in quizes are not working

The content was great, but I'd have liked to see more practical exercises.

O curso peca na questão de ser realmente prático.

I find the course a little too theoretical

I finished this course with grade over 90% and yet I feel disappointed with it.

Divided between intense theoretical (I could say "impractical") formulations and forcing implementations in R, it feels like the course could never really achieve the objectives of teaching what it was meant to.

And so, I feel like I will hardly be able to implement any of the given topics by myself with my current knowledge...

Apart from my critique of the course, the course really needs a revision because many contents are not up-to-date (like filenames) or even working (several pieces of code throughout the course, specially crucial in quizzes)...

The material was good, although sometimes it was hard to see the "practical" side (now that I've modelled the time series what do I do with that?). The course also needs to be updated as some of the links no longer work. It would also be helpful if the two professors coordinated their efforts better - flipping back and forth between two instructional approaches was frustrating.

I​'ve stopped with week 3. Are you kidding, rushing through the notions of series, convergence, and ultimately invertibility? The sound is getting progressively worse, I had to increase the volume for every video.

A lot of math, a lot of mistakes, outdated models, nothing about practical application. Mostly a theoretical course (90% of materials).

Name is measleading, most content is not practical.

Many labs have broken links with 404 error.

Not as practical as I expected

Too complicated