Chevron Left
Zurück zu Practical Time Series Analysis

Kursteilnehmer-Bewertung und -Feedback für Practical Time Series Analysis von The State University of New York

1,108 Bewertungen
313 Bewertungen

Über den Kurs

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!...



Mar 21, 2019

This was a very good and detailed course. I liked this course for two reasons mainly:\n\nIt started from the basics of timeseries analysis, covering theory and secondly it took me gradually to r.


Jul 17, 2020

Easily one of the best time-series courses online. Although it says "practical", there is plenty of good theory to back up the practice and at the same time not overwhelming or distracting.

Filtern nach:

251 - 275 von 310 Bewertungen für Practical Time Series Analysis

von Anubhav B

Mar 21, 2020

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.

von Denis K

Aug 15, 2018

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.

von raj k

May 05, 2018

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

von Denis F M

Feb 14, 2019

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.

von A.S.Uday K

Apr 08, 2020

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.

von PREM P

Jan 02, 2019

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).

von Pradeep M V

Jul 06, 2020

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

von Felix

Apr 08, 2020

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.

von Nikhil S

Jul 29, 2020

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

von Neil T

Oct 02, 2019

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

von Abhay k

Jul 17, 2020

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


Mar 30, 2020

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.

von Angelo A d M F

Aug 31, 2018

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

von Dhruv G

May 17, 2020

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

von Dheeraj T

Jan 16, 2018

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

von Supakrit N

Jul 09, 2019

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

von Parikshit A B

Sep 11, 2019

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

von 李欣儒

Feb 02, 2019

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

von Abdul A S

Mar 31, 2020

wonderful course. But what the methology for retransformation? its may not discussed here.

von Roman P

Jun 27, 2018

I thought everything was had a great layout. I found the proofs dry, but necessary.

von Ramprakash V

Oct 15, 2019

Helpful for the ones who really want a strong math foundation for Time series.

von Gabriel B

May 21, 2018

Chapter 3 needs work. Everything else is great! Good course overall.

von Al A M

Nov 26, 2018

Good! but Theoretical terms were little bit boring & confusing.


May 03, 2020

Good Introduction to Time Series with implementation in R.

von Minoru N

May 02, 2018

The lecture ended just where it has become interesting.