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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

Summary

By completing this chapter, you have added another precious instrument to your data analytics practitioners' backpack: Power BI. You have learned how to load data and set up a routine of transformation steps required for cleaning that data and making it useful. You have seen how to define the relationships that connect all tables into a single and coherent data model. You have also seen what it means to build interconnected visuals that allow for human interaction. You have created a dashboard that will enable business users to explore the data they need when they need it, fishing for insights and unveiling business opportunities in complete autonomy.

Now, think about the amount of data that lies largely unutilized and inaccessible in company databases (or even in Excel files stored on individuals' laptops). The business opportunities that wait to be unlocked by making this data visually accessible through a simple dashboard are vast and, in many cases, reasonably...

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