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.
교육 기관: Laurentiu N•
Aug 16, 2018
Terrible explanations... they do not make any sense....
Basically the instructors are reading mathematical expressions. No intuition, no significance, you are taught mechanically, sorry to say it
I wont buy anything from this provider ever.
교육 기관: Benjamin O A•
Jul 26, 2018
This is one of the best courses I've taken so far on Coursera. The exercises and delivery are so practical. I had taken a college course in Time Series Analysis, but didn't pretty much understand the concepts. This course has given me far better theoretical and practical understanding of TMS. A big thanks to the professors.
교육 기관: Lingbing F•
Jul 05, 2019
a good course on univariate time series modelling by ARMA type models, with additional details on Yule Walker equations, seasonal models, and forecasting.
교육 기관: xun y•
Dec 16, 2018
Great introductory course on time series. Focus on ARIMA model most of the time while the last lecture capture a little bit of exponential smoothing. Would be great if there if summary lecture regarding to when to use which modeling technique. would be even better if there is a optional lecture to cover some of the more advanced time series models.
교육 기관: VB•
Jul 26, 2019
Nothing practical, real example are used to enhance theoretical stuff.
Not a single example of practical use.
Too many mistakes in course - quizes are based on following week materials, materials are titeled with mistakes, there are mistakes in narratives in addition to the mistakes in what is talked.
One of the lecturer is talking like he has to read slides as quickly as possible, because he is to buisy with other stuff.
Too much math. you have to know algebra really well to understand what he is talking about.
you should learn some R by yourself, because it is not
explained how to do a lot of things. i think R should be in cluded in course title, to make people know in advance...
my score is 1.4(9) stars....
교육 기관: Supratim C•
Sep 25, 2019
Very monotonous lectures. They feel like a recitation of formulae.
교육 기관: Janki M•
Mar 21, 2019
This was a very good and detailed course. I liked this course for two reasons mainly:
It started from the basics of timeseries analysis, covering theory and secondly it took me gradually to r.
교육 기관: 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.
교육 기관: 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.
교육 기관: 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.
교육 기관: Kanchan K•
Nov 17, 2019
It is a good course if you want to learn about the basic concepts of time series
교육 기관: Neel D•
Nov 15, 2019
Too much detail and outdated course
교육 기관: Jonathan•
Aug 02, 2019
This is a good class. Well composed, and covers the material in a reasonable manner. Overall the best points of the class were Professor Thistleton's readings, which were very well put together and did a nice job of developing concepts. If you push yourself to follow along with them you'll develop a very sound conceptual basis about the material. Likewise, Prof. Sadigov's exercises with his notebooks were also useful, but his notes not so much.
If the class has some weak spots it's that, like a lot of classes on Coursera, the amount of time you have to spend to pass the class can be quite small if you just want to cruise and finish the course. Also, even though it's called "Practical Time Series Analysis", the majority of the material is quite conceptual. This class is a lightweight attempt to expose you to the material you'd cover if you studied it in college, but it does not just dig in and show you how to start hacking away at models. You'll need to practice a lot more on your own to develop yourself as a practitioner.
교육 기관: Kazantzidis C•
Aug 23, 2019
It was the first time I deal theoritacally and practically with Time Series. It is a perfect course for a beginer.
In my opinion this course need some prerequisites in Calculus but even if one doesn't have he can complete ther course. In addition this will be a stimulus to build the adequeate mathematical backround.
Finally I would like to refer that just completing the course doesn't mean that you have aquire the pertinent knowledge. On the contrary you have to do a lot of on the job practice with reference the material of this course.
The real data for practice is the date every one finds in his occupation e.g sales , production and the like.
To the Proffesors of this you I would to refer that in the update of this course it would be very good to include a Week with Regression with time series and some theorhy and practice of detrending.
교육 기관: Solomon W•
Mar 09, 2018
This is a great course that provides strong introduction to time series analysis and forecasting. I have benefited a lot from it as I took it to advance my career in data science. I have found the mathematical formulations in time series analysis very useful. I have also found the forecasting sections equally useful. All quizzes and in lecture questions were very helpful. The R coding practices are certainly helpful in learning the corresponding R libraries; they also provide template code that is useful for writing custom code for analysis.Many thanks to the instructors!
교육 기관: Michael D•
Jun 14, 2018
I enjoyed the course, especially the theoretical part.Also I would wish there would more course, on Time Series Analysis at Coursera. Currently there is only one such course.In this course, I wish there would be more reference to the literature. Some points as determination of AR & MA order by looking at ACF & PACF plots is not clear enough to me. As I understand there is some rule of thumbs but deeper explanations are missing to me (i hope, that they exists).Anyway in my opinion is the best course in Time Series Analysis, that I ever had.
교육 기관: Jeeva V•
Jul 04, 2018
The first three weeks it is hard to understand as the course content was not properly organized. some chapters and quizzes are jumbled without order. It has a lot of theory as well. But then after understanding the basics, the theoretical concepts, it is easy to follow. It gave very confident and in fact already started applying in my real world time series problems to model and forecast for future time period. Great course and would recommend to friends who are serious to learn about practical time series analysis.
교육 기관: HEF•
Apr 28, 2019
The course structure is well organized from basic statistics to more advanced materials. I used to hate reading but in this course I found the reading materials quite pleasant and interesting. Only light coding involved so I guess people without coding experience would find it friendly as well. Both theoretical and applied aspects were discussed in details, and I got to know many valuable sources of finding interesting time series datasets. In summary, a really great course one must take a try!
교육 기관: Ramachandra R K•
Nov 08, 2018
Decent course with a right balance between math, coding and high level explanation. AR, MA and ARMA (ARIMA) models are very well explained. I am not a big fan of R (even after this course) but it seems its time series analysis libraries and datasets are comprehensive. The best part of the course is the in-course coding examples and tasks. They really help you get hands-on into analysing various time series objects. A little more emphasis should have been made on forecasting.
교육 기관: Sai R•
Jan 27, 2019
First I started out reading Intro to Time Series and Forecasting, the book suggested by everyone. But, I could not understand the math because it was too tough. I did not lose hope. I completed this course because sometimes you need to get an overview of what needs to be done and then if you dive into the math of it, it will be easy. Much recommended course for the beginning of time series and forecasting techniques. 5 stars! Thank you
교육 기관: Chunhui G•
Jul 15, 2019
The course is very good for an introduction to time series. Few drawbacks are listed.
1. The theory behind double and triple exponential forecast are not given in the materials.
2. Some datasets are not available anymore in the Datamarket website anymore, needed to be fixed.
3. The forecast module in week 6 is kind of wired. Need more lecture to talk about what's the difference between smooth forecast and SARIMA model prediction.
교육 기관: Manish k•
Aug 30, 2018
The course structure is really nice and focused on hand's on application of Time series analysis. I was able to understand the maths also quite well, thanks to the Tutor for such a simplified explanation. I would look forward to see some more advance Time Series Courses like this.
I would highly recommend this course to all the active learners willing to learn Time Series Analysis.
교육 기관: Pratik C•
Jun 10, 2018
Excellent course. The whole topic is broken into bits and pieces and in a well structured form. Makes it easier to understand each concept. Apart from quizzes, few assignment problems where from the given data-set you need to come up with which technique to be used whether SARIMA or Exponential forecasting and then final forecast numbers. This will make it a complete course.
교육 기관: Anthony A Q D•
Sep 14, 2018
It's really good. I'm a master of applied statistic student and haven't taken time series. It helped me a lot, the math can be decently challenging but was rewarding when I did it. The vocabulary are very obtuse though. Trend, stationarity, etc.. is lost in the details. Process order and lag relationship was somewhat lost in the detail. Overall I learned a lot thank you!
교육 기관: ZHOU G•
May 12, 2018
Thanks for the course! I found it very interesting and useful.
I believe the course could be improved by having a proper ending or conclusion, reviewing everything we have learned and introduce some some viable path through which we can further advance the analysis skill. (Or are you actually considering open another course with more advanced technique?