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)
And now?
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Chapter 7

  • On the superiority of vision on the other senses or, like John Medina puts it, on the fact that "vision trumps all other senses", see: Medina, J. J., 12 Principles for Surviving and Thriving at Work, Home and School. Pear Press, 2009.
  • On the importance of vision in human cognition, which includes Prof. David William's claim on the portion of cortex dedicated to vision, visit
  • To learn more about preattentive attributes, you can read the book Few, S. "Show me the numbers." Analytics Pres (2004) or read Few's article, "The visual perception of variation", at
  • An earlier version of preattentive attributes was published in 1984 by Cleveland and McGill from Bell Labs. The paper exhibits a number of vintage charts from the 80s, and it is worth a read:...