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?

Thanks again!

The instructors provided detailed background for the theoretically inclined while gradually developing practical implementations in R using many real time series. Having finished the course I have a firm grasp of the process of analyzing time series and forecasting from them, as well as greater general facility in R. Overall an excellent and useful course.

Really good course to get to the fundamental concepts of AR, MA, ARIMA, SARIMA process, and basic concept like stationary. A few more areas that I wish the class could cover, including 1) stationary tests like ADF, KPSS, etc 2) regression against time series variables and how to treat/transform these variables before running regression model

I found this course to have the right mixture of math and practical examples to illustrate the approaches for time series analysis. Even if some parts of got too mathy, I was still able to understand it. Considering that its been a while since I have dealt with math, it should be encouraging for others having similar reservations.

It´s a nie course! very complete, but have minimun errors in lectures, about "Week"

Es un gran curso! muy completo. El enfoque práctico permite aprender de manera mas eficiente, sin embargo, existen errores minimos como la correlacion entre llas semanas del curso y la indicada en las lecturas (leve desface).

The course is exceptional. There are a few mistakes here and there in the material, but overall it is terrific. Recommended prerequisites to enjoy: basic linear algebra, calculus, basic statistics and probability course. Thistleton will make you learn the essential stuff with charming videos and readings.

Really good course for understanding time series data, ARIMA, SARIMA and exponential smoothing forecasting methods. The good thing about the course is that it covers theory as well as practical implementation. If paid attention, learners can understand clearly how the theory is being applied using R.

The course covers almost everything related to time series in detail. The mathematics is not too tough to understand but the jist of the course is how to apply time series models to real world datasets. Hats Off to the professors for covering each and every detail thoroughly. Highly recommended !!

Great Course. I have basic knowledge for Time Series Analysis by this course. I love you for providing slides and labs code. The lecture's instruction is easy to understand if you have no prior knowledge. If you want the best foundation for time series analysis, this course will be the best

I had an wonderful experience learning this course. Descriptions and teaching methodology was quite comfortable with me. The reading materials and the lectures together provided an overall understanding of the contents. Happy to have found and completed this course.

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.

Awesome！！I Iike the small quiz in every lecture which can help me understand better the content. Totally I spent almost 2 weeks to complete this lecture and all the Rcode exercise. My programming skill also improves! Thanks a lot! Very nice lecture!

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

This course dives into time series analysis and models, from the math behind time series to model creation and evaluation in R. I think the information taught in this course is very valuable since I'm able to use what I learned in my job.

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!

This course is very helpful, especially when it comes to understanding the basic idea of various time series models. It would be better that the this course can use Python, which is a more common language among data scientists.

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!