Visitor Insights and Social Media Analytics in R [Video]

More Information
  • Advanced hands-on projects to gain insights into your website's performance
  • Segmentation of visitor and revenue data
  • Plot cumulative transaction plots to understand the effectiveness of your marketing campaigns
  • Harness the power of social media analytics to improve your website or business
  • Use the R-markdown language to generate easy-to-understand PDF reports and dashboards.
  • Harness the power of social media analytics to improve your website or business

In this course, you will be introduced to important topics in web analytics with interesting hands-on projects to assess the performance of your website. This action-packed, must-have tutorial covers everything that you'd want to learn in web analytics for your website, and covers key concepts using R, Google Analytics, and the Flex dashboard. The course starts with an overview of key concepts such as segmentation followed by your first project, in the course of which you'll learn to plot visitors to a website in the last 6 months.

This is followed by plotting revenue over the last 12 months on the same website and also cumulative transactions. Towards the end, this course will teach you to plot loyal customers, returning customers, and average visits.

After having taken this course you will be able to carry out the segmentation and categorization of your website's traffic and recognize loyal visitors and the impact of social media on your visitors. All the code and supporting files for this course are available on Github at

Style and Approach

This course has a 90% hands-on approach. We show every R technique useful for analyzing. Go through every exercise with the author to acquire exciting new skills!

  • See how segmentation can help you gain insights into your website's behavior
  • Grow your visitor count and increase your revenue through data-driven decisions and changes
  • Optimize marketing campaigns by analyzing revenue and visitor data using R
Course Length 2 hours 37 minutes
ISBN 9781788393768
Date Of Publication 29 Apr 2018


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.