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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Walking through Power BI

Building a working dashboard in Power BI requires a series of four essential steps, namely, loading your data, transforming it, defining a data model, and creating data visuals leveraging the data model. As you can see in Figure 6.1, the four steps alternate as a cycle—your dashboard might require a few iterations before being ready for prime time:

Figure 6.1: Typical Power BI design process: load the data and transform data, define a model, build visuals, and iterate

Every step of the process relies on some specific views or dialogs in the application. By using only a handful of views, you will be able to access all the functionalities you need to build a dashboard from scratch. Figure 6.2 shows a simple "map" of where to find the most helpful Power BI views and windows so that you don't get lost along the way:

Figure 6.2: Feeling lost? This is where you find the most valuable views you will ever need in Power BI...