Web Analytics with Hands-on Projects in R [Video]

Web Analytics with Hands-on Projects in R [Video]

William Shin

Perform efficient analytics in R to optimize your website and enhance your business
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Video Description

R is a popular choice of tool for analysts, offering a large variety of libraries pertaining to each and every task in data analysis. With practical projects based on various real-world domains and use-cases where web analytics can be used, this video will be your companion for implementing the various web analytics techniques using the free, open source libraries provided by R.

This video will start by understanding the basics of web analytics, and why it is used in businesses worldwide. This will be followed by an introduction to R and its libraries, and understanding why R is a great choice for performing real-time analysis of your data. Analyse your website’s traffic and understand customers’ behaviour in real time, and use this information to optimize the performance of your website. You will also learn how to use the analytical capabilities of R to fully explore your Google Analytics Data and generate meaningful visualizations of your data using libraries like ggplot2 and generate reports based on various metrics and combinations. By the end of this tutorial, you will have a solid understanding of implementing the various web analytics techniques in R, and maximize your website’s performance.

Style and Approach

This is a Practical course packed with step by step instructions. It shows how to retrieve your data into R. This course is divided into clear chunks so you can learn at your own pace.

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What You Will Learn

  • Work with Key Performance Indicators (KPIs)
  • Insights that we can gain from web analytics
  • Set up the googleAnalyticsR package
  • Retrieving data using googleAnalyticsR
  • Understanding Sessions vs Users
  • Extracting data for Sessions and Users
  • Best practices for web data analysis
  • Common pitfalls for web data analysis
  • Create an effective measurement model for analytics

Authors

Video Details

ISBN 139781787126527
Course Length3 hours 12 minutes
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