Data Analytics Made Easy: Analyze and present data to make informed decisions without writing any code

Author:   Andrea De Mauro ,  Francesco Marzoni ,  Andrew J. Walter
Publisher:   Packt Publishing Limited
ISBN:  

9781801074155


Pages:   406
Publication Date:   30 August 2021
Format:   Paperback
Availability:   Available To Order   Availability explained
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Data Analytics Made Easy: Analyze and present data to make informed decisions without writing any code


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Author:   Andrea De Mauro ,  Francesco Marzoni ,  Andrew J. Walter
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781801074155


ISBN 10:   1801074151
Pages:   406
Publication Date:   30 August 2021
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents What is Data Analytics? Getting Started with KNIME Transforming Data What is Machine Learning? Applying Machine Learning at Work Getting Started with Power BI Visualizing Data Effectively Telling Stories with Data Extending Your Toolbox

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Author Information

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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