Book Image

Data Analytics Made Easy

By : Andrea De Mauro
4 (1)
Book Image

Data Analytics Made Easy

4 (1)
By: Andrea De Mauro

Overview of this book

Data Analytics Made Easy is an accessible beginner’s guide for anyone working with data. The book interweaves four key elements: Data visualizations and storytelling – Tired of people not listening to you and ignoring your results? Don’t worry; chapters 7 and 8 show you how to enhance your presentations and engage with your managers and co-workers. Learn to create focused content with a well-structured story behind it to captivate your audience. Automating your data workflows – Improve your productivity by automating your data analysis. This book introduces you to the open-source platform, KNIME Analytics Platform. You’ll see how to use this no-code and free-to-use software to create a KNIME workflow of your data processes just by clicking and dragging components. Machine learning – Data Analytics Made Easy describes popular machine learning approaches in a simplified and visual way before implementing these machine learning models using KNIME. You’ll not only be able to understand data scientists’ machine learning models; you’ll be able to challenge them and build your own. Creating interactive dashboards – Follow the book’s simple methodology to create professional-looking dashboards using Microsoft Power BI, giving users the capability to slice and dice data and drill down into the results.
Table of Contents (14 chapters)
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Visualizing Data Effectively

A chart is worth a thousand words, goes the old adage. Visual representation is often the preferred way to communicate numbers. As you can surely validate with your own experience, data charts are ubiquitous in business memos and presentations, as well as in newspaper articles and scientific papers. However, moving from data stored in a table to its graphic representation (a process called data visualization) is far from being trivial and risk-free. Although many software packages (including Power BI, Excel, KNIME, and so on) provide rapid ways to build charts in a matter of seconds, making effective and professional-looking visuals is far from being easy: it requires structured planning and disciplined execution.

This chapter will give you a set of practical guidelines to ensure that your business messages are communicated clearly through an effective data visualization process. In particular, we will go through the following questions:

  • What...