Data Science anwenden

This book provides an introduction to the topic of Data Science based on the visual presentation of data. It addresses ethical considerations in digital transformation and presents a process framework for evaluating technologies. Additionally, it explains the specifics and insights related to the failure of Data Science projects and introduces recommendation systems in light of current developments. The functionality of Machine Learning in Business Analytics tools is compared, and the use of a procedural model for Data Science is demonstrated. The integration of renewable energies using photovoltaic systems, more efficient management of thermal energy, scientific literature evaluation, customer satisfaction in the automotive industry, and a framework for analyzing vehicle data serve as practical examples for the concrete application of Data Science. The book offers important information that is relevant for practitioners as well as for students and educators.