Time

3 hours

Difficulty

Intermediate

In this guided lab by Next.Tech, we will take a deep dive into building time series models using R. Time Series models are used to do things like predict web traffic, forecast sales, buying patterns, etc. In this lab, you will need a strong foundational knowledge of R in order to understand how to produce time series analysis models.

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18m

Lessons from History - Time Series Analysis

Reading Exercise

18m

Exploring Finance Datasets

Virtual Lab

18m

Creating and Examining Date Objects

Virtual Lab

18m

Operating on Date Objects

Virtual Lab

18m

Performing Preliminary Analyses on Time Series Data

Virtual Lab

18m

Using Time Series Objects

Virtual Lab

18m

Decomposing Time Series

Virtual Lab

18m

Filtering Time Series Data

Virtual Lab

18m

Smoothing and Forecasting Using the Holt-Winters Method

Virtual Lab

18m

Building an Automated ARIMA Model

Virtual Lab

Staying up to date with the pace of time is vital for the success of a business. Many businesses are dependent on changes that occur over time, such as website traffic, forecasting sales, and studying inventory.

A time series model is a collection of data items observed through repeated measurements over time. In this course, we will look into time series analysis using various R packages.