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Data Analytics Made Easy

You're reading from   Data Analytics Made Easy Analyze and present data to make informed decisions without writing any code

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Product type Paperback
Published in Aug 2021
Publisher Packt
ISBN-13 9781801074155
Length 406 pages
Edition 1st Edition
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Author (1):
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Andrea De Mauro Andrea De Mauro
Author Profile Icon Andrea De Mauro
Andrea De Mauro
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Table of Contents (14) Chapters Close

Preface 1. What is Data Analytics? 2. Getting Started with KNIME FREE CHAPTER 3. Transforming Data 4. What is Machine Learning? 5. Applying Machine Learning at Work 6. Getting Started with Power BI 7. Visualizing Data Effectively 8. Telling Stories with Data 9. Extending Your Toolbox 10. And now?
11. Useful Resources 12. Other Books You May Enjoy
13. Index

Getting started with Tableau

Founded as a Stanford University spin-off, Tableau has pioneered in the data visualization arena for nearly two decades and is now regarded as one of the leading business intelligence platforms. Its straightforward drag-and-drop user interface, the integration with many data platforms, and its highly customizable, high-quality chart types have made Tableau very popular among business professionals, analysts, and data journalists.

Similar to Power BI, Tableau comes in different versions. In this chapter, we will use Tableau Public: this is a free desktop application (you can download it from public.tableau.com) that has nearly all the functionalities included in the full version (called Desktop Professional) but also a couple of important limitations. First, it relies on local data, so you cannot connect to remote data sources. Additionally, the public version lets you save your result solely on the public Tableau server, which is open to everyone: this...

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