Chevron Left
Back to Practical Time Series Analysis

Learner Reviews & Feedback for Practical Time Series Analysis by The State University of New York

4.6
stars
1,686 ratings

About the Course

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!...

Top reviews

SS

Apr 6, 2021

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.

SA

Jan 23, 2020

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.

Filter by:

376 - 400 of 465 Reviews for Practical Time Series Analysis

By Sai U K A

Apr 7, 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.

By Andrei K

Feb 4, 2023

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

By PREM P

Jan 2, 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).

By Pradeep M V

Jul 6, 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

By Feliks

Apr 8, 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.

By 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.

By Ritika A

Nov 2, 2020

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

By Neil T

Oct 1, 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.

By 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.

By Bhavya K

Sep 29, 2021

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.

By Roberto R

Oct 4, 2020

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

By Nafis S

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.

By Wiro K

Nov 14, 2020

Very good introduction to time series and to R.

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

By Angelo F

Aug 31, 2018

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

By 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.

By 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

By Jo L

May 19, 2022

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

By Supakrit N

Jul 9, 2019

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

By Weili S

Feb 6, 2021

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

By Parikshit B

Sep 10, 2019

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

By 李欣儒

Feb 2, 2019

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

By Nero

Sep 16, 2022

The explaination of the mathematical concepts is intuitive.

The assignments can be improved

By Abdul A S

Mar 31, 2020

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

By Roman P

Jun 27, 2018

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

By Ramprakash V

Oct 15, 2019

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