The course is well-paced and assumes very little background. This means that the first few weeks will not seem very practical, but that is necessary to lay the foundation for what is to come. My only criticism is that some of the tools in R seem out of date. A refresh of the course using tidyverse tools would be a 5-star course.

The course was hard for me because of the Math and R language. I almost gave up at Week 3 onwards and was behind for a week before I picked up again. Instructor Thistleton's careful instructions and well organized notes were really helpful. Overall I learnt a lot about Time Series, modelling, interpreting and using the R script.

Sometimes you would have to read the documents or watch the video again to grasp the idea, but overall, the two instructors introduced the contents very clear. I like how the examples of actual time series data were given in the lectures, those examples did help get a better picture of what those time series models are for.

It's a great course and it will give a great overview of the main forecasting techniques. However, the course is not THAT practical, since there were a lot of lessons talking about the theoretical concepts instead of coding. If don't have a good understanding of Algebra, you might get lost throughout this course

I remember the first two or three weeks as somewhat chaotic and unclear, but the remaining part was smooth. The course IS practical, but you need to get through the basics frist. For the first weeks, reading the first two chapters of 'Introductory Time Series with R' by Cowpertwait and Metcalfe helped a lot.

I have some mixed feelings.

While I did learned a lot of new things, I think there is some room for improvment:

1. Some links are broken.

2. The quality of some videos is very bad (fans spinning, the voice is not very loud).

3. Maybe adapt the code for Python.

Positive things:

1. Readings are very helpful.

Great course for info about time series.

Some parts (especially week 3 and 4) could be less mathematical.

Should emphaise more on identifying the ranks of the models, for example - keep those questions in the quizes.

Some quiz questions felt too easy :)

the course is really structured and organized; the two teachers are amazings and they absolutely know how to send the most helpful and important messages information and methods throughout all the lesson. I have really enjoyed this course

Very insightful for getting an idea of how to understand Time Series, how to model them, and do some forecasting with the main techniques. Good knowledge of statistics and R is highly recommended to follow through the entire course.

Nice course with a good pace. Great use of real world data sets.

A negative comment: Some of the datasets to be downloaded are not available on the links provided. Kindly update the links or provide the data file directly for usage.

Great course, but sometimes with too much theoretical analysis. The theory is essential of course, but more examples would help us to understand the main ideas. P.S: Thank you so much to teachers for their efforts to teach us!

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.