Retour à Practical Time Series Analysis

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153 avis

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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par 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.

par 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.

par 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.

par Roberto G A

•May 23, 2019

Excellent

par 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.

par Ahmad L

•Nov 24, 2018

great course even for newbies who're learning R.

par 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.

par 戚兆禹

•Nov 30, 2018

good learn something new

par Asif L

•Nov 30, 2018

A very good course taught by equally good instructors. Highly recommended.

par Krzysztof S

•Jan 11, 2019

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

par 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 :)

par 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.

par 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.

par 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

par Janki M

•Mar 21, 2019

This was a very good and detailed course. I liked this course for two reasons mainly:

It started from the basics of timeseries analysis, covering theory and secondly it took me gradually to r.

par RUOCHEN Z

•Feb 28, 2019

A great introduction to time series!

par kapil g

•Mar 03, 2019

Good for the beginners.

par Cesar N

•Mar 24, 2019

Very useful and practical course. Absolutely recommendable.

par Aikaterini L

•Mar 26, 2019

Very helpful practical easy exercises to get to know better the Time series and their analysis. I totally recommend it.

par William G

•Mar 29, 2019

This course is great. It is the best that I have tried on the web. Clearly explained and the math is fair to understand the topics and be able to get the ideas clear. Even the code for R is a great way to learn!

par Murali

•Mar 30, 2019

very good explanation. specifically about ACF and PACF.

Thanks!

par Matthew C Z

•Jan 28, 2019

Great course, I highly recommend!

par anas

•Jan 27, 2019

A Well structured and well taught course thank you !

par 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

par Raymond P

•Apr 01, 2019

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

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