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4.6

645 Bewertungen

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172 Bewertungen

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!...

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.

Aug 03, 2019

A nice course which is practical as the name said, it balanced the portion of theories and practices. I used to not familiar with this topic, but now I consider myself much more familiar.

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von Deleted A

•Jun 05, 2018

Amazing course

von Alex N

•Jan 21, 2018

It fits perfectly its purpose!

von Gionata L

•Apr 05, 2018

Very nice and pedagogical introduction to time series analysis. By the end of the course you feel like you know how to analyse and model time series.

von Andreas G

•Apr 01, 2018

Very nicely organized course, the lecturers achieved a good balane between theory and practice.

von Suzette L

•Mar 05, 2018

Great introduction to time series with plenty of depth. Really enjoyed the instructors and loved the frequent assessments rather than a big project. Highly recommended

von Cathy D

•May 23, 2018

useful!

von Yu Q

•Jul 18, 2018

Very helpful!

von SWAPNIL G

•Oct 13, 2018

It was a very helpful course. It covers the basics of time series, AR, MA processes are covered with extreme passion.

von Umang G

•May 02, 2019

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

von Sergio G

•Apr 26, 2019

Very nice to review those old concepts

von 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!

von Henrique R G

•Jun 17, 2019

Thanks for the opportunity, it was an excellent course, it helped me a lot.

von Dieter M

•Jul 28, 2019

Lots of theory, but very well-founded, and very practice-oriented at the end.

von Jonathan

•Aug 02, 2019

This is a good class. Well composed, and covers the material in a reasonable manner. Overall the best points of the class were Professor Thistleton's readings, which were very well put together and did a nice job of developing concepts. If you push yourself to follow along with them you'll develop a very sound conceptual basis about the material. Likewise, Prof. Sadigov's exercises with his notebooks were also useful, but his notes not so much.

If the class has some weak spots it's that, like a lot of classes on Coursera, the amount of time you have to spend to pass the class can be quite small if you just want to cruise and finish the course. Also, even though it's called "Practical Time Series Analysis", the majority of the material is quite conceptual. This class is a lightweight attempt to expose you to the material you'd cover if you studied it in college, but it does not just dig in and show you how to start hacking away at models. You'll need to practice a lot more on your own to develop yourself as a practitioner.

von LAI H Y

•Aug 03, 2019

A nice course which is practical as the name said, it balanced the portion of theories and practices. I used to not familiar with this topic, but now I consider myself much more familiar.

von Virgilio E

•May 23, 2019

A good source of learning time series analysis and forecasting!

von EDILSON S S O J

•Jun 06, 2019

Amazing Course!

von sanboz

•Jun 06, 2019

Excellent course, with practical examples and good explanation

von Zhexuan Z

•Aug 14, 2019

Really good course to get to the fundamental concepts of AR, MA, ARIMA, SARIMA process, and basic concept like stationary. A few more areas that I wish the class could cover, including 1) stationary tests like ADF, KPSS, etc 2) regression against time series variables and how to treat/transform these variables before running regression model

von Xavier C

•Aug 15, 2019

Very good class.It's lucid both in definition and programming practice.

von Jen

•Aug 22, 2019

I think it is really practical and useful

von Kazantzidis C

•Aug 23, 2019

It was the first time I deal theoritacally and practically with Time Series. It is a perfect course for a beginer.

In my opinion this course need some prerequisites in Calculus but even if one doesn't have he can complete ther course. In addition this will be a stimulus to build the adequeate mathematical backround.

Finally I would like to refer that just completing the course doesn't mean that you have aquire the pertinent knowledge. On the contrary you have to do a lot of on the job practice with reference the material of this course.

The real data for practice is the date every one finds in his occupation e.g sales , production and the like.

To the Proffesors of this you I would to refer that in the update of this course it would be very good to include a Week with Regression with time series and some theorhy and practice of detrending.

Thank Indeed.

von Andrea B

•Aug 25, 2019

Excellent course with a nice balance between theory and practical implementation. It would be useful to have a more advanced subsequent course with the same features.

von RLee

•Aug 28, 2019

It should have included GARCH as well!

von Abhijith S

•Jul 04, 2019

This is the best course for beginning time series analysis. ACF and PACF were explained very well. I highly recommend this course.

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