Chevron Left
Practical Time Series Analysis に戻る

Practical Time Series Analysis, ニューヨーク州立大学(The State University of New York)

4.6
482件の評価
126件のレビュー

このコースについて

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!...

人気のレビュー

by JM

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.

by MS

Feb 28, 2018

I have not completed the course yet, working on week 5. If you have some Math background, this course gives a good practical introduction to Time Series Analysis. I recommend it.

フィルター:

127件のレビュー

by Roberto Galindo Acosta

May 23, 2019

Excellent

by Anisha Singhal

May 06, 2019

After coming towards the end of the course, I have changes my perception about the course. It is a great course to learn Time Series Analysis. Though it has some advanced theory and derivations in certain lectures, it has lots of practical exercises as well to perform hands-on. It gives good understanding of time series concepts and different models associated with it. I would recommend this course. I would recommend the instructors to add ARIMAX and multivariate time series analysis in the course as well.

by Alexa Liu

May 06, 2019

maybe useful, but this course worth listening

by Umang Gupta

May 02, 2019

Learning a lot about basics of time series forecasting models like SARIMA, thanks a lot.

by HEF

Apr 28, 2019

The course structure is well organized from basic statistics to more advanced materials. I used to hate reading but in this course I found the reading materials quite pleasant and interesting. Only light coding involved so I guess people without coding experience would find it friendly as well. Both theoretical and applied aspects were discussed in details, and I got to know many valuable sources of finding interesting time series datasets. In summary, a really great course one must take a try!

by Sergio Garofoli

Apr 26, 2019

Very nice to review those old concepts

by Indresh Tiwari

Apr 12, 2019

Course is really good to know the in depth understanding of the various models working around for the time series analysis.

by Hany Nagaty

Apr 11, 2019

Great course, good balance between theory & practical applications.

For some lectures, the slides are not provided (pdf notes are provided instead). I would preferred to have the PDF sliders of the Power Point as well.

by Raymond Peng

Apr 01, 2019

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

by Heberto Suarez-Roca

Apr 01, 2019

There was not a good intuitive and more visual explanations of the principles behind the techniques.

Given the proposed 'practical' nature of the course, it would be better to explain any concept by using concrete every-day examples than preceding them with a elaborated mathematical reasoning of the equations used.