It might be a bit theoretical for some people (specially because of the title) however it think the instructors do a great job on giving the right amount of theory for the correct understanding of the practical methods. Great course.

I liked the practical example given by the instructors. However, I think a little more discussion on the packages used for practical implementation and how to call it in R would be helpful to students who are little wary of coding.

one of the best courses, I have ever undertaken in the Coursera platform till date. The course has a bit of mathematical theories and loaded with all basic concepts of time series and its analysis. really, an enriching experience!

This course is very helpful, especially when it comes to understanding the basic idea of various time series models. It would be better that the this course can use Python, which is a more common language among data scientists.

Informative, detailed, while still being pragmatic. Good variety and amount of resources to rely on. After just one week of following the course carefully and diligently, I feel confident using time series for my dissertation!

Curso muito bom. Consegue passar uma visão mais acadêmica dos tópicos, aproveitando os conteúdos de cálculos abordados em cursos iniciais de exatas. Contém bastante prática e material de apoio para auxiliar no aprendizado.

Very useful course if you are looking to get a good insight into time series analysis using R software. they structure of the course is well organised with a lot of practical examples with great support from the instructors.

Was a great time of learning and discovering about what exists behind the time series analysis. The professors were fundamental and they are awesome, doing a great job simplyfing the concepts and explaining with a soft pace.

I found the course to be interesting, well organized and well taught, the teachers give intuitions and mathematical justifications to the theory and they provide extensive simulations and practical examples.

Very recommended.

A very interesting and well made course that I would recommend to students and professionals. A possible enhancement would be including a discussion on the ranges of applicability of ARIMA and smoothing forecasting methods.

All major aspects of time series analysis has been covered thoroughly. The best part is the focus on understanding the underlying math behind the library routines. That helps a lerner set a strong foundation in this area.

My greatest congratulations. I have the feeling of understanding deeply and being able to apply Time Series Analysis and forecasting. Excellently explained and excellent examples with the use of R. Thank you very much.

material was well structured and optimal for the duration of the course. The speakers were concise and clear. Code does not seem to be available in some cases but not a major impediment to completing the course

The course gets you started with building models of time series dataset in almost no time. Though course does not cover in depth theory but the course do really says that it is a "Practical" Time Analysis Course.

This course is great. It is the best that I have tried on the web. Clearly explained and the math is fair to understand the topics and be able to get the ideas clear. Even the code for R is a great way to learn!

Nice practical course. At first I was worried that it would be too superficial but it gives a little intuition about the math behind the models too. It works well as an introductory course for the main ideas.

An excellent course if you are looking to get working knowledge of time series analysis. Basic working knowledge of univariate statistics will go a long way in making the learning easier. I would recommend it.

Very useful course to establish the core fundamentals of time series data - which is very prevalent in real life. Instructors are really great and the quizzes are very well designed to reinforce the concepts.

This is a solid course. The instruction is good and the course materials are well written. The R code is a little dated at this point, but still useful and the concepts are independent of the software used.

El curso quer acabo de concluir me ha sido de gran beneficio por que los voy a aplicar en el estudio de los datos de la serie de tiempo del NDVI 3g - AVHRR para la predicción de la sequía en el Perú.

This is a phenomenal course if one wants to have a thorough understanding of how ARIMA forecasting is performed.

On top of that, this course is absolutely free (with an option to buy).

Thanks a lot !

This was a good introduction to time series analysis. The lessons were easy to follow without much difficulty. In my opinion, it could have been better if more practical examples were given.

very good course with theortical explanation as well as practical implimentation.simulation of every model is very nice thing in the course that increase your understanding of the topic.

Very well instructed course. The teaching staff is phenomenal. Anybody trying to learn the basics of time series and develop a deep understanding will benefit alot from the course

I would definitely recommend this course. It is a smooth introduction to time series analysis, very well explained and guided through multiple examples. I found it really useful!