Data Science field is growing exponentially and shaping our world. Data Science elevated to a distinct professional specialization around the year 2010. Data Science uses both 'Data' and 'Science' in creative ways to generate valuable insights for solving real world problems. Data Science is interdisciplinary and multifaceted. The scale and scope of Data Science Projects get expanded by the diversity of perspectives. There is no widely accepted boundary of Data Science. Even the traditional solution approach which involves selecting first the problem and then finding the data required for solving the problem, may get reversed by giving exploratory look at the data first and then picking up promising threads for further analysis. Data Science involves extensive data handling starting from finding the data, processing, visualizing and writing a narrative to extract meaningful insights . Pursuit of Data Science, therefore, needs sound understanding of scientific and technical aspects and soft skills besides domain knowledge. A series of books with simple, comprehensive and multifaceted coverage is much needed educational tool to become better at data-driven decisions . This first book in the Series On Understanding Data Science (SOUNDS) is aimed at Decision-makers at one end of the spectrum and those aspiring to enter the territory of Data Science at the other. It is also intended as a "Handy Book" (in contrast to a 'Handbook') for Data Science Practitioners.
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