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

Predicting numbers through regressions

For this tutorial, you will assume the—somewhat—enviable role of a real estate agent based in Rome, Italy. The company you work for owns multiple agencies specialized in rentals of properties located in the broader metropolitan area of the Eternal City. Your passion for data analytics got you noticed by the CEO: she asked you to figure out a way to support agents in objectively evaluating the fair monthly rent of a property based on its features. She noticed that the business greatly suffers when the rent set for a property is not aligned with the market. In fact, if the rent is too low, the agency fee (which is a fixed percentage of the agreed rent) will end up being lower than what it could have been, leaving profit on the table. On the other hand, if the ask is too high, revenues for the agency will take longer to materialize, causing a substantial impact on the cash flow. The traditional approach to set the monthly rent for new...