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)
10
And now?
12
Other Books You May Enjoy
13
Index

And now?

It was a long ride, but you made it: what a terrific journey you have just completed!

In the nine chapters, we have harnessed, with our own hands, the potential value of data analytics, recognizing several practical ways to unlock it. We have built a toolbox of ready-to-use data applications (with KNIME and Power BI at the core), which you can now utilize when needed. Most importantly, you have acquired a broad set of tool-agnostic data competencies that you can leverage with any application. Organizing, cleaning, and transforming any data; building, validating, and interpreting models based on machine learning algorithms; designing, preparing, and delivering data stories based on effective visualizations...this wide spectrum of fundamental knowledge and data abilities will empower you, no matter the specific software you happen to use today or will use tomorrow. The tutorials you completed gave you some real-world experience on relevant business needs, such as automating...