It was a really good course, very informative and well explained. Only I could find minor mistakes especially during the test where it was difficult to observe the figures or the code did run smoothly. I highly recommend it.

The course is really nice and delves deep into the underlying math behind the forecasting technique. The course would have been even better if they would have talked about time series forecasting with predictor variables.

Good course to learn the basic concepts about time series. In my opinion there should be more practical exercises. They force you to better understand the theory and are always a good idea to really master any subject.

I easily get frustrated in the early weeks (1,2,3) because of mathematics. However, I later realize that I have to understand how the forecast method works to fully comprehensively understand the time series analysis.

Great course, good balance between theory & practical applications.

For some lectures, the slides are not provided (pdf notes are provided instead). I would preferred to have the PDF sliders of the Power Point as well.

If you have the patience to learn time series with little knowledge of statistics, then this course is for you. Believe me, the course is really a "Practical" time series. Good course for beginners, I am satisfied.

Although I come from the math environment, I appreciated in a certain degree the explanations given, also I think that it would be useful to include more practical examples i.e. real life dataset, thanks for all!

Little fast and some place in the middle when they started talking about inside the unit circle. May need a little refresher on that. Otherwise I really appreciate this type of material being available.

Very Good Course, Thanks for clear explanation.Comparison & Selecting the best model for a given dataset with train, test split would have given practical approach and implementation in real time project.

It's a course with a very well load of math content. In my opinion, it should include more practical cases focus on give to students a hands on feel of what happens by under all the math explained here.

I think I need support on the very last week, namely, week 6, on the very first quiz. I don't understand the answers on how they were derived but I was able to get the answers by repeating the quiz.

An excellent course of Time series analysis. This course is a bit Mathy, technical, and but easy. Highly recommend if you're interested in Time series analysis or Financial time series analysis.

The structure of first 2-3 weeks can be improved. The initial flow seems to be jumping, I thought I am not getting it, but I see the same feedback in discussion forum, so I am clearly not alone.

This is a good course, but it is too focused on R routines and leaves some practically important questions unanswered. Specifically, no algorithm is provided for fitting parameters of MA models.

This is a course which is bit math heavy but they explain the concepts very well. I understand that data analysis in R .is very easy but I wish the .coursework was .also available in python.

A good course to start up with time series forecasting. The code meets its objective of teaching practical time series analysis. Though, a little more theory on the same would be appreciated

Old course but gold. A little bit of background in basic statistics, algebra and programming is needed to be succesful in this course. Thank you for this great learning opputunity.

I liked it a lot and it helped me a lot to understand the topic that I am going to use in my thesis.

It has a little messy some classes and topics so they should revise some videos.

It gave me a basic idea of how time series data works and what to look for when I do forecasting. But I thought the quizzes could have been a little more challenging.

This is a great course for introduction to practical time series analysis. This course will get you started on conceptual and hands on level (using R code).

One instructor is super fast while the other one is super slow. But the course content is really good, with quiet a few practical examples and execises

i liked the course, which is quite useful for the beginners.

I'd add additionally some theory and other examples to make the understanding better.

This course has wonderful explanation of Mathematics behind the graphs. One should not give up initially is the best way to complete this course.

The course gives a good overview of time series modelling. The course is more relevant for academic purposes. Overall well structured course.

Classic intro class. But it will be better to explain the difference between exponential smoothing and SARIMA and why we need the first one.