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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

Product type Paperback

Published in Aug 2021

Publisher Packt

ISBN-13 9781801074155

Length 406 pages

Edition 1st Edition

Concepts

Data Science

Author (1):

Andrea De Mauro

View More author details

Table of Contents (14) Chapters

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

Power BI in a nutshell

Power BI is a business intelligence service offered by Microsoft that enables the creation of online data dashboards. Let's go through its most essential features:

Power BI comes with a traditional application software called Power BI Desktop, which you can download and install, for free, on your computer. Power BI Desktop offers the full design functionalities of Power BI: you can use this software to create your dashboards, save them in local files (with the .pbix extension), and then share them with other users, who can, in turn, view and edit your dashboards. To complete this chapter, you will only need to use the Power BI Desktop application.
It's important to know that Power BI is primarily offered as a cloud-based service. If you decide you want to use Power BI at scale in your company to leverage corporate data sources and make dashboards available online via browsers or mobile apps (without the need for all users to install Power...

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Authors (1)

De Mauro

De Mauro

Andrea De Mauro has more than 15 years of international experience managing Data Analytics and Data Science organizations. He is currently Head of Business Intelligence at Vodafone Italy. Previously, he served as Director of Business Analytics at Procter & Gamble, looking after the continuous elevation of data analytics in the business and the development of digital fluency across the global organization. He is a professor of Marketing Analytics and Applied Machine Learning at the International University in Geneva, Switzerland, and at the Universities of Bari and Florence, Italy. In his research, he investigates the essential components of Big Data as a phenomenon and the impact of AI and Data Analytics on companies and people. He is the author of popular science books on data analytics and research papers in international journals.

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