Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
The Essence of Data Science: A Demystifying Guide for Decision Makers and Aspiring Data Scientists

The Essence of Data Science: A Demystifying Guide for Decision Makers and Aspiring Data Scientists

Prasad, S. S.

Paperback

General Computers

ISBN13: 9798494986474
Publisher: Independently Published
Published: Oct 12 2021
Pages: 80
Weight: 0.19
Height: 0.17 Width: 5.00 Depth: 8.00
Language: English
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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