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Back to Practical Time Series Analysis

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

4.6
stars
1,732 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 7, 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.

RK

May 5, 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

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251 - 275 of 471 Reviews for Practical Time Series Analysis

By RLee

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Aug 29, 2019

It should have included GARCH as well!

By Sergio G

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Apr 26, 2019

Very nice to review those old concepts

By Jie F

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Feb 13, 2019

very good course for time series study

By Mill L

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Aug 1, 2020

Excellent explanation to ARIMA model!

By Soheyla

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Jun 7, 2018

its so intuitive and i enjoyed a lot.

By Deleted A

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Feb 28, 2019

A great introduction to time series!

By Luis F C G

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Jan 3, 2022

The topics go directly to the bone!

By Motahareh K

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Sep 14, 2020

such a very very very good course!

By Dennis L

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Jul 18, 2023

Seems very old and ignored course

By Matthew Z

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Jan 29, 2019

Great course, I highly recommend!

By Fred J

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Aug 13, 2021

They need to work on their labs

By fernandes m

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Apr 13, 2021

Not so bad, but not so good to.

By Clinton S A B

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Jun 6, 2020

Very good course for beginners.

By Saadat K

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May 1, 2020

Thank You for this great Course

By Alex N

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Jan 21, 2018

It fits perfectly its purpose!

By Melkamu T

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Nov 16, 2024

I was very attractive course!

By KOJI M

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Jan 15, 2022

Knowledgeable and Pracctical

By Sima A

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Mar 6, 2018

highly recommend this course.

By chakroun w

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May 14, 2018

this course was very helpful

By Ting-Yen T

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Mar 17, 2020

Love the application part:)

By Ali B A

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Jul 19, 2025

Very interesting parctices

By Sabitova R

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Oct 30, 2022

Very light and affordable

By CHENGXIN

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Nov 7, 2021

very helpful and practical

By Prayas R

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Aug 3, 2020

Helpful and informative!!

By Rupa B L

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Apr 18, 2020

I like the code examples.