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

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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 Details

ISBN 139781787126527
Course Length3 hours and 12 minutes

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.

Table of Contents

Introduction to Web Analytics and R
The Course Overview
Why Use Web Analytics?
Why Use Google Analytics?
Why R Is Perfect for Web Analytics?
Installing R and RStudio
Installing and Setting Up Google Analytics Account
Installing Packages and Dashboards
GoogleAnalyticsR Package
ggplot2 Package
Useful Links for googleAnalyticsR and ggplot2
Why Use Dashboards?
Understanding Visitors
Who Are the Visitors to Our Site?
Who Is Coming Back to Our Site?
How Loyal Are Our Visitors?
Building Our Business Dashboard
Which Pages Are Most Effective?
Exit Rate and Bounce Rates
Which Pages Have the Highest Exit and Bounce Rates?
Building Business Dashboard
How Can High Bounce Rates Be Improved?
Looking Back: How Have Visitors Been Visiting My Website?
Why Look at Multiple Time-Frame Analysis?
Why Is Context Important?
Website Performance for the Past Two Years
Building Business Dashboard
What Are Pitfalls and FAQs for First-Time Analysts?
Understanding the Limit of Metrics
Multiple Time-Frame Analysis
Pitfalls of Too Much Analysis

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

Table of Contents

Introduction to Web Analytics and R
The Course Overview
Why Use Web Analytics?
Why Use Google Analytics?
Why R Is Perfect for Web Analytics?
Installing R and RStudio
Installing and Setting Up Google Analytics Account
Installing Packages and Dashboards
GoogleAnalyticsR Package
ggplot2 Package
Useful Links for googleAnalyticsR and ggplot2
Why Use Dashboards?
Understanding Visitors
Who Are the Visitors to Our Site?
Who Is Coming Back to Our Site?
How Loyal Are Our Visitors?
Building Our Business Dashboard
Which Pages Are Most Effective?
Exit Rate and Bounce Rates
Which Pages Have the Highest Exit and Bounce Rates?
Building Business Dashboard
How Can High Bounce Rates Be Improved?
Looking Back: How Have Visitors Been Visiting My Website?
Why Look at Multiple Time-Frame Analysis?
Why Is Context Important?
Website Performance for the Past Two Years
Building Business Dashboard
What Are Pitfalls and FAQs for First-Time Analysts?
Understanding the Limit of Metrics
Multiple Time-Frame Analysis
Pitfalls of Too Much Analysis

Video Details

ISBN 139781787126527
Course Length3 hours and 12 minutes
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