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Data Analytics Made Easy

Data Analytics Made Easy

By : De Mauro
4.7 (12)
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Data Analytics Made Easy

Data Analytics Made Easy

4.7 (12)
By: 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)
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10
And now?
12
Other Books You May Enjoy
13
Index

The data storytelling process

Crafting an engaging data story requires mixing the exercise of creativity with the application of a structured methodology. In the following pages, we will uncover each step of the Data Storytelling Process, a recipe you can follow when looking for the right way to influence your business partners through data and analytics. This is how it works:

  1. The first step is to Set the Objectives, which means defining your story's expected outcome (anticipating what it will cause) and getting clarity on your audience composition, drivers, and previous knowledge.
  2. Then you Select the Scenes your story will be made of and you draft them. We will go through five archetypal scene types you can use as an inspiration for your data to speak up.
  3. Once you are clear on the scenes, you sequence them and Apply the Structure that will make your story flow well. We will introduce a basic 3-act structure that proves to be a good base for organizing your narrative...
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Data Analytics Made Easy
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