Arabnia H.R., Daimi K., Stahlbock R. et al. Principles of Data Science

Springer, 2020. — 288 p. — ISBN: 9783030439804.Arabnia H.R., Daimi K., Stahlbock R., Soviany Cr., Heilig L., Brussau K.
(Eds)Data science combines statistical techniques, data analysis methods, and machine learning algorithms and techniques to analyze and understand tangible trends in data. Through data science, one can identify relevant issues, collect data from
various data sources, integrate the data, conclude solutions, and communicate the results to improve and enhance organizations’ decisions and deliver value to users and organizations. Data science draws techniques and methods from mathematics, statistics, information science, and computer science. The demand for data scientists is constantly increasing; scientists and practitioners are faced with numerous challenges caused by exponential expansion of digital data together with its diversity and complexity. The scale and growth of data considerably outpaces technological capacities of organizations needed to process and manage their data.