The interplay of data science skills areas

April 29, 2016 Armen R. Kherlopian, Ph.D. Chief Science Officer, Analytics & Research, Genpact Data science has increased in popularity over recent years as organizations realize that the challenges they face can be addressed in whole or in part by understanding the data available to them. The field of data science is still relatively new and is founded on several skill areas. Core skill areasData science includes a number of key capabilities: Mathematics and statistics help provide a rigorous analytical framework that can be invaluable when making decisions to address inherently amorphous business challenges Computer science supports programming as it provides the theory to formalize approaches for real-life data challenges Domain knowledge supports the development of expertise by providing reference points for hypotheses generation, whether data driven or by expert…


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