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?
Other Books You May Enjoy

Getting started with Tableau

Founded as a Stanford University spin-off, Tableau has pioneered in the data visualization arena for nearly two decades and is now regarded as one of the leading business intelligence platforms. Its straightforward drag-and-drop user interface, the integration with many data platforms, and its highly customizable, high-quality chart types have made Tableau very popular among business professionals, analysts, and data journalists.

Similar to Power BI, Tableau comes in different versions. In this chapter, we will use Tableau Public: this is a free desktop application (you can download it from that has nearly all the functionalities included in the full version (called Desktop Professional) but also a couple of important limitations. First, it relies on local data, so you cannot connect to remote data sources. Additionally, the public version lets you save your result solely on the public Tableau server, which is open to everyone: this...