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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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401 - Practical Time Series Analysis 的 425 個評論(共 427 個)

創建者 Lyla F

2020年1月24日

It's decent for what it is - a course trying to balance theory with practicality. However, it uses R for the target implementation environment. That's fine, but as a matter of taste, I prefer python. Therefore, for me, the practicality aspect of the course wasn't the greatest, and that was its main selling point.

創建者 Arman A

2020年10月8日

It is in R, making it rather limited for applications in industry, however using Python's statsmodel you should be able to keep up with the notes.

I was expecting a lot more theoretical explanation of the concepts rather than just demo'ing some R code and fitting some libraries to data.

創建者 Rachel S

2021年5月21日

If you want to see a whole lot of proofs and have someone tell you complicated things are really simple and obvious, then this is the course for you. I wanted a class to teach me how to do the tasks at work. It spent a little bit of time on that and a WHOLE lot of time on the proofs.

創建者 Christopher K

2020年11月13日

It was definitely a gentle and accessible introduction to time series analysis. I was hoping for something a little more comprehensive and challenging, however, and sound quality was sometimes poor. This would serve as good preparation for an introductory course on time series.

創建者 Pablo C

2018年10月14日

Overall, this is a good course for beginners in time series analysis.

However, I wish they had go beyond the basics. I missed more advanced content, discussions between different forecasting techniques, multivariate forecasting...It is pretty basic.

創建者 Herman d V

2019年11月6日

Very interesting course. For a 'practical' course, I did find it rather theoretical. Also, some links to downloadable data are missing and there are some small errors in the R scripts that are offered. Nonetheless a good course, I learned a lot!

創建者 Loganathan S

2020年11月20日

The coding for the steps confusing and can follow how the tutor explained. I would like to suggest for the course coordinator to create a document on steps with coding for each model or test we want to run. Thank you.

創建者 Andrew G

2021年1月17日

Good/thorough introduction to moving average, auto-regressive, intetgrade, and seasonal models as well as basic forecasting. Some of the labs don't work, as well as links, and the organization is messy in places.

創建者 Jignesh K

2021年3月29日

If you have non-technical or not much aware of stats, you will probably face problems understanding the equation algebra. I think the tutor has to explain how to calculate with a manual example.

創建者 Pranav K

2021年4月9日

I was interested in learning more about situations where one time series affects another, on which there was no content. Somewhat disappointed by that. Very rigorous, apart from that.

創建者 Emanuel N

2020年3月9日

While professor Thistetlon gave the classes in a way that kept my attention,Prof Sadigov wasn't so good at it. Clearly he know a lot but not as a teacher.

創建者 Mark H

2018年6月27日

Would have loved more work with the ready made packages, I feel like I still can't master using them in R, although I did understand the material.

創建者 Ivan D

2021年1月17日

good, but not great. needs more explanation about the intuition. needs a lot more exercises. needs to cover more topics.

創建者 Saket M

2020年4月18日

Instructors are good but as per the title this is not more than 30% practical Time Series Analysis

創建者 Roger L

2022年4月20日

A lot of the lab content links and library in the codes in quizes are not working

創建者 Maria B

2018年10月19日

The content was great, but I'd have liked to see more practical exercises.

創建者 Cesar T

2022年5月12日

O curso peca na questão de ser realmente prático.

創建者 stephane d

2020年3月21日

I find the course a little too theoretical

創建者 António M F B d C C

2020年7月18日

I finished this course with grade over 90% and yet I feel disappointed with it.

Divided between intense theoretical (I could say "impractical") formulations and forcing implementations in R, it feels like the course could never really achieve the objectives of teaching what it was meant to.

And so, I feel like I will hardly be able to implement any of the given topics by myself with my current knowledge...

Apart from my critique of the course, the course really needs a revision because many contents are not up-to-date (like filenames) or even working (several pieces of code throughout the course, specially crucial in quizzes)...

創建者 Sam M

2022年1月23日

The material was good, although sometimes it was hard to see the "practical" side (now that I've modelled the time series what do I do with that?). The course also needs to be updated as some of the links no longer work. It would also be helpful if the two professors coordinated their efforts better - flipping back and forth between two instructional approaches was frustrating.

創建者 Jens F

2022年5月6日

I​'ve stopped with week 3. Are you kidding, rushing through the notions of series, convergence, and ultimately invertibility? The sound is getting progressively worse, I had to increase the volume for every video.

創建者 Antonina K

2021年10月21日

A lot of math, a lot of mistakes, outdated models, nothing about practical application. Mostly a theoretical course (90% of materials).

創建者 JOSE M

2021年4月7日

Name is measleading, most content is not practical.

Many labs have broken links with 404 error.

創建者 John S

2020年10月23日

Not as practical as I expected

創建者 Aiman H N

2021年7月17日

Too complicated