Intro to Time Series Analysis in R
Fit various types of time series models to real world data and use them to forecast the future.
Understand how to assess model fit in time series data.
Know the reasons why time series models and methodology are an important toolkit for any data scientist.
In this 2 hour long project-based course, you will learn the basics of time series analysis in R. By the end of this project, you will understand the essential theory for time series analysis and have built each of the major model types (Autoregressive, Moving Average, ARMA, ARIMA, and decomposition) on a real world data set to forecast the future. We will go over the essential packages and functions in R as well to make time series analysis easy.
您要培养的技能
分步进行学习
在与您的工作区一起在分屏中播放的视频中，您的授课教师将指导您完成每个步骤：
Time Series Data Overview
Why Time Series?
Key Concepts: Autocorrelation / Autocovariance
Key Concepts: Stationarity
Checking for Stationarity
Transforming for Stationarity
Basic Model Types: AR, MA, ARMA, ARIMA, Decomposition
And More!
指导项目工作原理
您的工作空间就是浏览器中的云桌面，无需下载
在分屏视频中，您的授课教师会为您提供分步指导
审阅
来自INTRO TO TIME SERIES ANALYSIS IN R的热门评论
Great summary of time series modelling. The external tool is a bit annoying but the course is great. The student start by downloading all materials and then use RStudio Cloud.
Exceptional! A background in basic statistics (hypothesis test and regression) . as well as a basic understanding of R is a nice-to-have. But not mandatory.
Not to bad for being a short guided course. Concise and a good overview. After this you may very well do a serious course if you want to get anywhere
A wonderfully-knit course! Although the Rhyme interface is a bit slow, the program is very well taught and understood. Thanks for the project!
常见问题
常见问题
如果我购买指导项目，会得到什么？
指导项目可在台式设备和移动设备上学习吗？
指导项目的讲师是谁？
我能在完成指导项目后从中下载作品吗？
我能够退款吗？退款政策是如何规定的？
有助学金吗？
我能旁听指导项目并免费观看视频部分吗？
我需要具备多少经验才能做这个指导项目？
我能直接通过 Web 浏览器来完成此指导项目，而不必安装特殊软件吗？
指导项目的学习体验如何？
还有其他问题吗？请访问 学生帮助中心。
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