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

Summary

In this chapter, you touched on the serious potential behind data analytics and machine learning with your own hands. You have solved three real-world problems by putting data and algorithms at work.

In the first tutorial, you managed to predict with a decent level of accuracy the rental price of properties, collecting, in the process, a few interesting insights into real estate price formation. You have now acquired a proven methodology, based on the linear regression model, that you can replicate on many business cases where you have to predict numeric quantities.

In the second tutorial, you entered the fascinating world of classification and propensity modeling, experiencing firsthand the game-changing role of data analytics in marketing. You were able to put together a couple of classification models through which you met multiple business needs. First, you were able to reveal the "unwritten rules" that make a product generally attractive to customers by...