Andrea de Mauro

Data Analytics Made Easy (eBook, ePUB)

Analyze and present data to make informed decisions without writing any code

• Format: ePub

Produktbeschreibung

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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Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 406
• Erscheinungstermin: 30. August 2021
• Englisch
• ISBN-13: 9781801074582
• Artikelnr.: 70298202

Autorenporträt

Andrea De Mauro is Director of Business Analytics at Procter & Gamble, looking after the continuous elevation of the role of data and algorithms 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 Universities of Bari and Florence, Italy, and at the International University in Geneva, Switzerland. His research 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 various research papers in international journals.