Practical Time Series Analysis(으)로 돌아가기

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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.

필터링 기준:

교육 기관: Benjamin O A

•Jul 26, 2018

This is one of the best courses I've taken so far on Coursera. The exercises and delivery are so practical. I had taken a college course in Time Series Analysis, but didn't pretty much understand the concepts. This course has given me far better theoretical and practical understanding of TMS. A big thanks to the professors.

교육 기관: xun y

•Dec 16, 2018

Great introductory course on time series. Focus on ARIMA model most of the time while the last lecture capture a little bit of exponential smoothing. Would be great if there if summary lecture regarding to when to use which modeling technique. would be even better if there is a optional lecture to cover some of the more advanced time series models.

교육 기관: Lingbing F

•Jul 05, 2019

a good course on univariate time series modelling by ARMA type models, with additional details on Yule Walker equations, seasonal models, and forecasting.

교육 기관: Roberto G A

•May 23, 2019

Excellent

교육 기관: Martin H A

•Mar 30, 2018

I found one of the instructors (Thistleton) much clearer and didactic than the other. I would have liked a deeper formal insight into the models that were discussed: limitations, assumptions, what kind of physical models they can represent? what to do with systems that don't behave "nicely"?, etc.

교육 기관: Laurentiu N

•Aug 16, 2018

Terrible explanations... they do not make any sense....

Basically the instructors are reading mathematical expressions. No intuition, no significance, you are taught mechanically, sorry to say it

I wont buy anything from this provider ever.

교육 기관: Mohammed M A

•Dec 31, 2018

Grateful to the instructors for the engaging and fruitful learning I enjoyed in the course Practical Time Series Analysis! Thank you :)

교육 기관: Sai R

•Jan 27, 2019

First I started out reading Intro to Time Series and Forecasting, the book suggested by everyone. But, I could not understand the math because it was too tough. I did not lose hope. I completed this course because sometimes you need to get an overview of what needs to be done and then if you dive into the math of it, it will be easy. Much recommended course for the beginning of time series and forecasting techniques. 5 stars! Thank you

교육 기관: Anas M

•Jan 27, 2019

A Well structured and well taught course thank you !

교육 기관: Matthew C Z

•Jan 28, 2019

Great course, I highly recommend!

교육 기관: Ramachandra R K

•Nov 08, 2018

Decent course with a right balance between math, coding and high level explanation. AR, MA and ARMA (ARIMA) models are very well explained. I am not a big fan of R (even after this course) but it seems its time series analysis libraries and datasets are comprehensive. The best part of the course is the in-course coding examples and tasks. They really help you get hands-on into analysing various time series objects. A little more emphasis should have been made on forecasting.

교육 기관: Vidhyalakshmi K

•Nov 24, 2018

The course is very insightful substantively covering both theory and practical in a balanced manner. I liked it very much.

교육 기관: Ahmad L

•Nov 24, 2018

great course even for newbies who're learning R.

교육 기관: Robert S

•Nov 11, 2018

The instructors provided detailed background for the theoretically inclined while gradually developing practical implementations in R using many real time series. Having finished the course I have a firm grasp of the process of analyzing time series and forecasting from them, as well as greater general facility in R. Overall an excellent and useful course.

교육 기관: Chinmay J D

•Jan 05, 2019

Excellent coursework !! Very less amount of theory is required and hence a very useful for beginners.

교육 기관: Krzysztof S

•Jan 11, 2019

The topic is very difficult, but lectures explain everything in very clear way.

교육 기관: Jie F

•Feb 13, 2019

very good course for time series study

교육 기관: Dongliang Z

•Feb 15, 2019

Terrific! Thanks the teachers! Both of You are very good. You make the complexity easy to learn.

Nice theory, Nice example, Nice code, Nice pdf files.

I will definitely review this course again and again whenever I need to use time series to forecast.

교육 기관: XINGHUA L

•Feb 26, 2019

imperfections in it but really practical and good enough

교육 기관: Begoña R H

•Feb 24, 2019

Análisis de series temporales explicado de la mejor manera posible, de lo más básico hacia lo más complejo, incluyendo código en R. Recomendable

교육 기관: Kyle C

•Feb 20, 2019

I only wanted to look at a few lectures from this course, but they were so good that I decided to go through the rest of it. I was not let down.

교육 기관: RUOCHEN Z

•Feb 28, 2019

A great introduction to time series!

교육 기관: kapil g

•Mar 03, 2019

Good for the beginners.

교육 기관: Aaron D

•Mar 04, 2019

Great, starts off slow and detailed and then moves onto a variety of practical problems

교육 기관: Krzysztof R

•Mar 06, 2019

Very motivating course, quite easier as it is intermediate one, but still satisfying and moving the knowledge forward! Recommend!