The structure of first 2-3 weeks can be improved. The initial flow seems to be jumping, I thought I am not getting it, but I see the same feedback in discussion forum, so I am clearly not alone.

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.

This is a course which is bit math heavy but they explain the concepts very well. I understand that data analysis in R .is very easy but I wish the .coursework was .also available in python.

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

Old course but gold. A little bit of background in basic statistics, algebra and programming is needed to be succesful in this course. Thank you for this great learning opputunity.

I liked it a lot and it helped me a lot to understand the topic that I am going to use in my thesis.

It has a little messy some classes and topics so they should revise some videos.

overall pretty good a bit theoretical given the "practical" title, some notebooks and R-functions have slightly changed but nothing impossible to overcome for motivated students

It gave me a basic idea of how time series data works and what to look for when I do forecasting. But I thought the quizzes could have been a little more challenging.

Very good balance between theory and applications. Though, some labs did not open. Also, would have been awesome to have elaborated on exponential smoothing.

This is a great course for introduction to practical time series analysis. This course will get you started on conceptual and hands on level (using R code).

One instructor is super fast while the other one is super slow. But the course content is really good, with quiet a few practical examples and execises

i liked the course, which is quite useful for the beginners.

I'd add additionally some theory and other examples to make the understanding better.

This course has wonderful explanation of Mathematics behind the graphs. One should not give up initially is the best way to complete this course.

The course gives a good overview of time series modelling. The course is more relevant for academic purposes. Overall well structured course.

Classic intro class. But it will be better to explain the difference between exponential smoothing and SARIMA and why we need the first one.

The course provides an overall idea about time series forecasting from the scratch. The examples to explain the concepts are very accurate.

Expected a bit more beyond ARIMAs but overall a good course to go for. I revisited a lot of fundamentals that helped me in my college.

Good training, not only because of the theory but also the examples and the most important, the easy way to understand R code offered.

There should be more R codes and the explanation of the codes should be made easier. However, it is a good course on time series.

Very good introduction to time series and to R.

There are some small errors and typos (otherwise a trigger to get more R skills).

A very good introduction to time series analysis. Provides some theoretical fundamentals and explains how to implement it in R.

Great Course. Beyond what I thought it would be. It brings you 1 step closer to doing practical time series analysis using R.

Course is good and intuitive and people not from non-mathematical/non-engineering backgroung may take more time in week 2

A good course on the concepts of time series with hands-on simulation, analysis, simple modeling, and forecasting!

Great course with clear description but the sound of mentor is almost monotone making me feel some sleepy