Mar 18, 2018
Really great lectures and clearly explaining the concepts and complicated models. In my opinion, a bit of practical applications of these models on Panel Data should be included.
Feb 28, 2018
I have not completed the course yet, working on week 5. If you have some Math background, this course gives a good practical introduction to Time Series Analysis. I recommend it.
por Asif Lakhany•
Nov 30, 2018
A very good course taught by equally good instructors. Highly recommended.
Nov 30, 2018
good learn something new
por Al Amin Mridha•
Nov 26, 2018
Good! but Theoretical terms were little bit boring & confusing.
por Vidhyalakshmi K•
Nov 24, 2018
The course is very insightful substantively covering both theory and practical in a balanced manner. I liked it very much.
por Ahmad Lutfi•
Nov 24, 2018
great course even for newbies who're learning R.
por Hilmi Erdem•
Nov 21, 2018
Good practical overview with lots of exercises
por Jose Lucas Araujo•
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
por GURUPRASATH S•
Nov 16, 2018
Excellent course. Well Structured with sufficient lectures, practical examples and quizzes. Strongly recommended.
por Robert Schmitt•
Nov 11, 2018
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.
por Ramachandra Rao Kolluri•
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.