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.
von Yash G•
Mar 25, 2019
Dec 23, 2018
It was more theoretical than practical, in my opinion
von 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.
von Diego V•
Jul 21, 2018
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.
von Pranoy M•
Jul 29, 2018
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.
von Gabriel D B•
May 21, 2018
Chapter 3 needs work. Everything else is great! Good course overall.
von 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.
von Marc-Andre C•
Apr 21, 2018
Well built class. I especially enjoyed the inclusion of written material, which I find easier, faster and more enjoyable than videos usually. The material itself is well constructed and the professors are clear. The low point for me comes with the intended audience of the class. At first glance, it is directed toward professionals that have already some familiarity with time series. While I could follow the course independently, I had to rely on other resources to gain intuitions on the concepts. I still don't consider that I could explain the material that I learned as well as I wish I would.
von 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.
von Roman P•
Jun 27, 2018
I thought everything was had a great layout. I found the proofs dry, but necessary.
von raj k•
May 05, 2018
A good course to start up with time series forecasting. The code meets its objective of teaching practical time series analysis. Though, a little more theory on the same would be appreciated
von Lijie T•
Apr 01, 2018
The instructors adopted a very practical approach to teaching the core concepts in Times Series. They did a great job using examples to analyze the data and explain the concepts. However, I do think the lectures are somewhat disorganized in some chapters so that some concepts are used before they are mentioned. Overall speaking, this is a great class.
von Bhasutkar V B P•
Jun 20, 2018
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.
von Minoru N•
May 02, 2018
The lecture ended just where it has become interesting.
von Federico V M•
Feb 18, 2018
Very useful introduction course to Time Series
von 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
Jun 02, 2018
von 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
von 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.
von 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 :)
von Jose L A•
Nov 18, 2018
The course gives really useful skills regarding time series analysis, but it seems a little bit forgotten by the authors since some links in the during the course are not working anymore ( for instance the link describing whether a seasonality is addictive or multiplicative "http://www.forsoc.net/2014/11/11/can-you-identify-additive-and-multiplicative-seasonality/". Also,there are time a future content is presented before the class in some questions, as is the case the moving average week where there is a question regarding auto regressive process, a content present in future classes. Besides those points, the classes and material are really helpful, and i can say that this skills learned will sure be used in my professional life
von Hilmi E•
Nov 21, 2018
Good practical overview with lots of exercises
von Al A M•
Nov 26, 2018
Good! but Theoretical terms were little bit boring & confusing.
von Danny V•
Sep 03, 2018
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.