Avis et commentaires pour l'étudiant pour Practical Time Series Analysis par Université d'État de New York

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.

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.

a good course on univariate time series modelling by ARMA type models, with additional details on Yule Walker equations, seasonal models, and forecasting.

Excellent

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.

Grateful to the instructors for the engaging and fruitful learning I enjoyed in the course Practical Time Series Analysis! Thank you :)

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

A Well structured and well taught course thank you !

Great course, I highly recommend!

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.

The course is very insightful substantively covering both theory and practical in a balanced manner. I liked it very much.

great course even for newbies who're learning R.

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.

Excellent coursework !! Very less amount of theory is required and hence a very useful for beginners.

The topic is very difficult, but lectures explain everything in very clear way.

very good course for time series study

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.

imperfections in it but really practical and good enough

Análisis de series temporales explicado de la mejor manera posible, de lo más básico hacia lo más complejo, incluyendo código en R. Recomendable

I only wanted to look at a few lectures from this course, but they were so good that I decided to go through the rest of it. I was not let down.

A great introduction to time series!

Good for the beginners.

Great, starts off slow and detailed and then moves onto a variety of practical problems

Very motivating course, quite easier as it is intermediate one, but still satisfying and moving the knowledge forward! Recommend!

Very good and structured lessons about fundamentals of time series modeling. Well done! I missed a bit the forecasting part though