Book Image

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

By : William Shin
Book Image

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

By: William Shin

Overview of this book

<p><span id="description" class="sugar_field">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.</span></p> <p><span id="description" class="sugar_field">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.</span></p> <h2><span class="sugar_field">Style and Approach</span></h2> <p><span class="sugar_field"><span id="trade_selling_points_c" class="sugar_field">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.</span></span></p>
Table of Contents (6 chapters)
Chapter 5
Looking Back: How Have Visitors Been Visiting My Website?
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Section 2
Why Is Context Important?
What is context, and why is it essential for interpreting metrics correctly? What will you miss if you ignore context? - Context is what gives meaning to your metrics - Context is what allows you to turn a metric into an action - Combine context with goals to continue to use metrics to drive improvements