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學生對 纽约州立大学纽约州立大学 提供的 Practical Time Series Analysis 的評價和反饋

1,577 個評分


Welcome to Practical Time Series Analysis! Many of us are "accidental" data analysts. We trained in the sciences, business, or engineering and then found ourselves confronted with data for which we have no formal analytic training. This course is designed for people with some technical competencies who would like more than a "cookbook" approach, but who still need to concentrate on the routine sorts of presentation and analysis that deepen the understanding of our professional topics. In practical Time Series Analysis we look at data sets that represent sequential information, such as stock prices, annual rainfall, sunspot activity, the price of agricultural products, and more. We look at several mathematical models that might be used to describe the processes which generate these types of data. We also look at graphical representations that provide insights into our data. Finally, we also learn how to make forecasts that say intelligent things about what we might expect in the future. Please take a few minutes to explore the course site. You will find video lectures with supporting written materials as well as quizzes to help emphasize important points. The language for the course is R, a free implementation of the S language. It is a professional environment and fairly easy to learn. You can discuss material from the course with your fellow learners. Please take a moment to introduce yourself! Time Series Analysis can take effort to learn- we have tried to present those ideas that are "mission critical" in a way where you understand enough of the math to fell satisfied while also being immediately productive. We hope you enjoy the class!...




It is a very good course which builds on the basics of time series and also covers more advanced topics like SARIMA. The course contains ample examples which helped me better understand the material.



Excelente, uno de los mejores cursos que he tomado. Lo más importante es que se practica muy seguido y hay examenes durante los vídeos. Si hay un nivel más avanzado de este tema, seguro que lo tomo.


351 - Practical Time Series Analysis 的 375 個評論(共 439 個)

創建者 Sanjeev K


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.

創建者 raj k


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

創建者 Pritam S


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.

創建者 Denis M


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.

創建者 Uday K


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.

創建者 PREM P


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).

創建者 Pradeep M V


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

創建者 Feliks


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.

創建者 Nikhil S


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

創建者 Ritika A


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

創建者 Neil T


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

創建者 Abhay k


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

創建者 Bhavya K


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.

創建者 Roberto R


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

創建者 Nafis S


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.

創建者 Wiro K


Very good introduction to time series and to R.

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

創建者 Angelo F


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

創建者 Dhruv G


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

創建者 Dheeraj T


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!

創建者 Supakrit N


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

創建者 Weili S


Quite simple for a beginner, but there still exist some problems(Such as function name typo) in test.

創建者 Parikshit B


The course is well paced and covers a lot of material. It could have been better structured though.

創建者 李欣儒


some mistakes in the handout, but still learn lots of useful knowledge and skill from this class.

創建者 Nero


The explaination of the mathematical concepts is intuitive.

The assignments can be improved