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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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Toc

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

The data analytics toolbox

Out of all the technologies related to data analytics, this book is going to focus on the application layer. This is where the "magic" happens: analytics applications can transform data into actual business value and in the next chapters, you will learn how to do this.

There are many data analytics applications out there available for use. Each of them has its strengths and peculiarities. Although some can be very versatile, no single application will satisfy the full range of analytical needs we could encounter on our way. Hence, we should pick a selection of tools that will jointly cover an acceptable range of needs: they form our data analytics toolbox. By learning how to use and how to effectively combine the few tools we have put in the toolbox, we can become autonomous data analytics practitioners. Like a plumber would have his or her preferences on the instruments to use, you will also have your own predilections and can customize your...

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