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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

4.6
1,484 個評分
420 條評論

課程概述

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!...

熱門審閱

SS

2021年4月6日

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

2020年1月23日

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.

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201 - Practical Time Series Analysis 的 225 個評論(共 427 個)

創建者 Raymond P

2019年4月1日

Great course. It's much better than my professor's lectures

創建者 Cesar N

2019年3月24日

Very useful and practical course. Absolutely recommendable.

創建者 Tian Y

2020年11月29日

a little hard for me, and the lab cannot connect sometime.

創建者 Maxim V

2019年9月21日

This course is a perfect complement to Rob Hyndman's book!

創建者 Niraj P

2018年2月19日

A Wonderful course immense help to understand time series!

創建者 Deleted A

2019年7月12日

I hope the lecturers could provide more advanced classes.

創建者 XINGHUA L

2019年2月26日

imperfections in it but really practical and good enough

創建者 chundarathil a

2019年10月19日

Amazing course structure with apt information required.

創建者 Mikhail V

2021年2月15日

Great introduction to time series, R, and forecasting

創建者 P k

2019年6月10日

It's very good for beginners.i highly recommended it.

創建者 Anas M

2019年1月27日

A Well structured and well taught course thank you !

創建者 Jhonatan Z

2021年7月21日

Great introductory course for time series analysis!

創建者 Ahmad L

2018年11月24日

great course even for newbies who're learning R.

創建者 Paulo Y C

2018年9月26日

Very good and robust introduction to Time Series

創建者 Fulvio D S

2021年11月11日

V​ery useful, with lots of practical examples!!

創建者 Mohamed M

2021年12月28日

v​ery interesting course i highly recommend it

創建者 Javier S

2021年6月11日

It was a great course centered on applications

創建者 Simon I

2021年10月29日

Very informative and beginner-friendly course

創建者 Chencheng F

2020年10月26日

Very clearly delivered! Strongly recommended!

創建者 Supriyo B

2022年4月21日

Nice course structure and easy explanations.

創建者 Lucia

2019年10月21日

Pretty good! I enjoy the course very much.

創建者 Vijay R

2021年8月7日

A​udio is very feeble.. content is great.

創建者 Jen

2019年8月21日

I think it is really practical and useful

創建者 Thibaud

2021年4月26日

Very great content, thank you very much!