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Data Analytics Made Easy. Analyze and present data to make informed decisions without writing any code Andrea De Mauro, Francesco Marzoni, Andrew J. Walter

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Data Analytics Made Easy. Analyze and present data to make informed decisions without writing any code Andrea De Mauro, Francesco Marzoni, Andrew J. Walter - okladka książki

Data Analytics Made Easy. Analyze and present data to make informed decisions without writing any code Andrea De Mauro, Francesco Marzoni, Andrew J. Walter - okladka książki

Autorzy:
Andrea De Mauro, Francesco Marzoni, Andrew J. Walter
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
406
Dostępne formaty:
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     ePub
     Mobi

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Prezent last minute w ebookpoint.pl
Data Analytics Made Easy is an accessible beginner’s guide for anyone working with data. The book interweaves four key elements:

Data visualizations and storytelling – Tired of people not listening to you and ignoring your results? Don’t worry; chapters 7 and 8 show you how to enhance your presentations and engage with your managers and co-workers. Learn to create focused content with a well-structured story behind it to captivate your audience.

Automating your data workflows – Improve your productivity by automating your data analysis. This book introduces you to the open-source platform, KNIME Analytics Platform. You’ll see how to use this no-code and free-to-use software to create a KNIME workflow of your data processes just by clicking and dragging components.

Machine learning – Data Analytics Made Easy describes popular machine learning approaches in a simplified and visual way before implementing these machine learning models using KNIME. You’ll not only be able to understand data scientists’ machine learning models; you’ll be able to challenge them and build your own.

Creating interactive dashboards – Follow the book’s simple methodology to create professional-looking dashboards using Microsoft Power BI, giving users the capability to slice and dice data and drill down into the results.

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O autorze książki

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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