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

Python for data analytics

Python is an increasingly popular high-level programming language that is particularly well suited for data analytics and machine learning applications. The ample availability of analytics-related libraries and its easy-to-learn syntax make it the preferred choice for many data science practitioners.

The story behind Python's name has nothing to do with snakes. Its creator, Dutch programmer Guido van Rossum, was a big fan of the 1970s BBC comedy series "Monty Python's Flying Circus." So he picked Python as the name of the project to honor the irreverent genius of the British comedy troupe running that show.

As this book focuses on visual programming, we will not go through any thorough explanation of coding principles. Instead, the purpose of this section is to let you see Python in action on a familiar problem and get some perspective on how it can be used in our everyday work. We will first go through a script...