Mar 21, 2019
This was a very good and detailed course. I liked this course for two reasons mainly:\n\nIt started from the basics of timeseries analysis, covering theory and secondly it took me gradually to r.
Aug 03, 2019
A nice course which is practical as the name said, it balanced the portion of theories and practices. I used to not familiar with this topic, but now I consider myself much more familiar.
Jun 02, 2018
por Denis K•
Aug 15, 2018
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.
Aug 31, 2018
Answers to assignments could be more elaborate
por Angelo A d M F•
Aug 31, 2018
A very good introduction to time series analysis. Provides some theoretical fundamentals and explains how to implement it in R.
por Dheeraj T•
Jan 16, 2018
Course is good and intuitive and people not from non-mathematical/non-engineering backgroung may take more time in week 2
por Dennis P•
Apr 22, 2018
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.
por Gabriel D B•
May 21, 2018
Chapter 3 needs work. Everything else is great! Good course overall.
por Scott S•
Apr 29, 2018
Overall, this was a really great class. I have a good grasp now for the basics of modelling time-series and producing forecasts (using ARIMA, SARIMA, Smoothing with Holt-Winters). I also have an understanding of the tools used for analysing time-series (autocorrelation, partial-autocorrelation).
The course is a good mix of theory and practice. I haven't taken a stats class for a long time; however, the first week was more than enough to refresh my memory. Really, only some basic stats knowledge is needed (mean, covariance, correlation). There is also quite a lot of usage of the geometric series. However, a lot of time is spent reviewing this topic later (week 3, I think). The course is done in R, but the usage is so small that anyone with any experience in programming will have no trouble. I actually had no experience with R before this course, and I finished the course with only a little additional experience.
My only complaint is that the course could use some minor maintenance. One of the weeks (maybe 3?) has a section of duplicated notes, but I'm pretty sure that the section with duplicated notes could be deleted. Most of the pdfs have the wrong week in the header (likely a new week was added after the course was released). There are also several quiz questions with incorrect values (before taking a quiz, I recommend scanning through the forum to find known problems). The instructors do occasionally post in the forums, so that gives me hope that the course will not be abandoned.
por Amir P•
Nov 05, 2018
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 :)
por Anisha S•
May 06, 2019
After coming towards the end of the course, I have changes my perception about the course. It is a great course to learn Time Series Analysis. Though it has some advanced theory and derivations in certain lectures, it has lots of practical exercises as well to perform hands-on. It gives good understanding of time series concepts and different models associated with it. I would recommend this course. I would recommend the instructors to add ARIMAX and multivariate time series analysis in the course as well.
por Alex L•
May 06, 2019
maybe useful, but this course worth listening
por Yash G•
Mar 25, 2019
por Hany N•
Apr 11, 2019
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.
por Siddharth M•
May 28, 2019
A very thorough course covering almost all the topics related to time series along with the math involved. However, the explanation for the math involved was not very elaborate and easy to understand. A lot of parts were skipped in the explanation. Moreover, the examples taken to explain were simpler, rather than taking a tough example and covering all the corners. Overall, a great course but not for a layman.
por David S•
Jul 01, 2019
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.
por Supakrit N•
Jul 09, 2019
Great course with clear description but the sound of mentor is almost monotone making me feel some sleepy
por Luiz C•
Jul 15, 2019
Exercises and Quizzes could be more complex
por Miguel L•
Sep 05, 2018
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.
por Pablo C T•
Oct 14, 2018
Overall, this is a good course for beginners in time series analysis.
However, I wish they had go beyond the basics. I missed more advanced content, discussions between different forecasting techniques, multivariate forecasting...It is pretty basic.
por Maria B•
Oct 19, 2018
The content was great, but I'd have liked to see more practical exercises.
por Juan M G H•
Sep 26, 2018
On other courses I received feedback on the forums in a prompt manner from the instructors, here none of my questions have been answered.
por Mark H•
Jun 27, 2018
Would have loved more work with the ready made packages, I feel like I still can't master using them in R, although I did understand the material.
por Artem M•
May 18, 2018
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.
por Martin H A•
Mar 30, 2018
I found one of the instructors (Thistleton) much clearer and didactic than the other. I would have liked a deeper formal insight into the models that were discussed: limitations, assumptions, what kind of physical models they can represent? what to do with systems that don't behave "nicely"?, etc.
por Heberto S•
Apr 01, 2019
There was not a good intuitive and more visual explanations of the principles behind the techniques.
Given the proposed 'practical' nature of the course, it would be better to explain any concept by using concrete every-day examples than preceding them with a elaborated mathematical reasoning of the equations used.