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學生對 Coursera Project Network 提供的 Intro to Time Series Analysis in R 的評價和反饋

4.4
239 個評分

課程概述

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....

熱門審閱

FS

2021年1月8日

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.

MB

2021年8月2日

Excellent introduction to time series analysis. Several modules with clear explanations of the theory behind the models discussed and good discussion of the coding exercises.

篩選依據:

51 - Intro to Time Series Analysis in R 的 54 個評論(共 54 個)

創建者 Angel O

2021年7月27日

創建者 Indira -

2022年6月20日

創建者 Mahesh P

2020年11月2日

創建者 TARIQUE M

2020年7月23日