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Handbook DATA SCIENCE

Wolfgang Weidinger Stefan Papp Mario Meir-Huber Georg Langs Rania Wazir Bernhard Ortner

Generate Value through Data Analysis and Machine Learning

• Comprehensive overview of the various applications of data science • Practical case studies provide access to the described concepts • Imparts applicable knowledge to conduct simple data analysis projects. This book provides an overview of the various aspects of data science and de-scribes how to generate value in the context of big data. Corporations can use the analysis of big data to make decisions faster, reduce costs and access new markets.

The text approaches the subject data science from several angles. First, it describes how to design big data platforms and use the individual tools. Next, it touches on statistical-mathematical and legal subjects. The account is rounded off with practical case studies that demonstrate how knowledge generated from data can have a decisive impact on various industries. Studying this text will enable the reader to conduct simple data analysis projects.

 

From the contents:

  • Introduction to Big Data 
  • Statistics Fundamentals 
  • Fundamentals and Tools of Big Data Platforms
  • Data Science
  • Architectures of a Data Platform
  • Data Science Pipeline
  • Data Driven Enterprises
  • Selected Applications
  • Legal Aspects
  • Conclusion
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Book

Published 2019-05-01 by Hanser , ISBN: 9783446457102

Main content page count: 288 Pages

ISBN: 9783446457102