Data Science and its Importance in Business, Economics & Finance
Data science is amongst one of the most interdisciplinary areas of the research sciences. Quantitative tools and processes for mining, archiving, and interpreting data are utilized by a host of researchers every day, including computer scientists, mathematicians, and statisticians.
We at Springer appreciate the diversity of these broad communities and their various needs as teachers, researchers, and practitioners. We also take seriously our responsibility to provide as many reference resources as possible to these communities.
In this recent selection of data science articles and chapters, we have highlighted publications which address especially important research related to business, economics, and finance, especially those covering COVID-19 topics.
+++ Enjoy articles & chapters. Complimentary access ends January 15, 2022 +++
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