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

More Information
  • 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

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.

  • A Comprehensive Guide to Track, measure and analyze your website performance effectively using the popular tools in R
  • Covers the latest technology of R's superior advanced analytics capabilities
  • Shows how to perform efficient web analytics with R to increase your business’ profitability
Course Length 3 hours 12 minutes
ISBN 9781787126527
Date Of Publication 30 Aug 2017


William Shin

William Shin received his PhD from Columbia University in 2017 in biological sciences with specialization in computational biology. He has been an avid user of R since 2009 and has been using statistics to gain insights into large datasets since 2007. He has been a consistent contributor in digital analytics, a frequent speaker at conferences, and a wide range of regional events around the world.