뉴욕주립대학교의 Practical Time Series Analysis 학습자 리뷰 및 피드백

The course instructors explain the concepts very well, especially the background maths part, unlike many other courses on Time Series Analysis where they just introduce the concept and then without much explanation directly jump to the code implementation.

Great course. Once you get your mind around the math with the real-world examples the applications and understanding become quite obvious. Would recommend just presenting the checklist at the outset so learners know that they're building into a framework.

I like this course and the instructors are great. Mostly, they showed care for the students by making the exercises well chosen and accessible, which greatly increases the confidence of the student. The pace of the material is balanced too. I enjoyed it!

very good course for a person who doesn't have an experience in time series and R.Clearly explained every model with mathematical modelling and proof.Very satisified with the course now, i am confident that i can model any time series data.Thanks a lot

Terrific! Thanks the teachers! Both of You are very good. You make the complexity easy to learn.

Nice theory, Nice example, Nice code, Nice pdf files.

I will definitely review this course again and again whenever I need to use time series to forecast.

This is a great introduction to time series analysis. The class is easy to follow and the lecture notes are well prepared. In my opinion, it could have been better if some more mathematical details were presented (maybe as extra ungraded material).

Great course, it breaks down Time Series into the mathematical theory and then construct knowledge from the basis. It was wonderful to understand how to use PAC and ACF to retrive insights from TS.Thanks for sharing this wonderful knowledge

The course was really good. It begins with the basic concepts and develops very good examples combined with theory. I hope there is a part 2 with topics such as SAMIRAX models as well and something related to ML in Time Series Analysis.

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!

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!

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!

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 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 !

Excelente, uno de los mejores cursos que he tomado. Lo más importante es que se practica muy seguido y hay examenes durante los vídeos. Si hay un nivel más avanzado de este tema, seguro que lo tomo.