It is a very good course which builds on the basics of time series and also covers more advanced topics like SARIMA. The course contains ample examples which helped me better understand the material.
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.
創建者 Federico V M•
Very useful introduction course to Time Series
創建者 Alex L•
maybe useful, but this course worth listening
創建者 Luiz C•
Exercises and Quizzes could be more complex
創建者 Kleider S V G•
A very good course. I really recommend it!
創建者 Mohamed I•
need more programming examples and trials
創建者 Yeliang P•
Quite lucid, a little bit too simple
創建者 NANDA G•
Still more practical examples needed
創建者 Igor R•
A little basic, but fun and useful,
創建者 Koustav M•
Great help concept and R code wise
創建者 Elias E•
Good introduction to time series
創建者 Udit G•
Good, but can be more extensive.
Great for beginners
創建者 Yash G•
創建者 Prateek G•
創建者 Kaumba C•
創建者 Vipin K•
創建者 Daniel M•
The course is a good opportunity to learn and/or review basic concepts on time series modeling (e.g. ARMA, ARIMA). They are presented in a way that ideas are easily understood, but also covering enough detailed aspects. I really enjoyed lectures of Professor Sadigov as he usually derives all of the formulas presented.
However, there are many things in this course that I would urgently improve. Content is not properly sorted, so you can find concepts being mentioned before being introduced or concepts being introduced twice. Moreover, I have encountered errors in both slides and quizzes. Most of them had already been spotted by other users in the forums, but they have never been corrected. Indeed, course has not been reviewed for a while, so you will often struggle to get the data used in the lectures as links provided are no longer valid. Quizzes are also very simple, most of the time.
創建者 Artem M•
Contents of the course are very good. It provides a compact introduction to the most important statistical methods for time series estimation. Nevertheless, there are many mistakes in slides/exercises, necessity to download datasets instead of using predefined ones, and a great number of time series libraries to download when we could just use 2 of those, which is ok, but I took 1 star for it. The other star taken was because I think the course could still include more information on the theory of time series (yes, I understand that the name is PRACTICAL time series, but still), and more meaningful exercises. Most of those were pretty trivial.
創建者 Miguel L•
Overall, it is a pretty good course: in just a few weeks you are introduced to a satisfactory level of time series analysis with R even if your background in R and/or statistics is not that high. I have personally missed some more depth (even if optional: for example, providing additional optional readings, or creating an honours track with extra difficult assignments for motivated students). Instructors are pretty good but they should make an extra effort to be clearer and not to speed up too much: some more additional videos or just more time for each video covering the same content would be better.
創建者 Sharon M•
While this course was pretty thorough, it was way too mathematical and not nearly as applied as I would have expected a 'practical' course to be. It was also extremely frustrating that a large proportion of the forum messages went unanswered - I've never done a Coursera course before where there hasn't at least been a research assistance answering questions. You really had to try to follow everything yourself, and if you had a question, you had to find the answer yourself. A bit disappointing.
創建者 Richelle S A•
It was a nice course, very informative. But week 3 simply had way too much matter in it in comparison with the previous 2 weeks which makes it difficult if you've set a timetable. Also, week 6 had poorly maintained data availability, and missing code. Lastly, the professors are absent from the discussions. There are unanswered doubts from longer than a year ago.
But if you dedicate enough time and effort, this course is pretty good.
創建者 Kasra S•
I think, most of the time the link between application and the theory is absent in this course. A significant emphasis is put on the formula and theory, but not enough connection to the real world. The last point, please be a story teller, and start with why?? why use this? why use that? motivate us and guide us through the process.
創建者 Lyla F•
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.
創建者 Arman A•
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.