This text provides a comprehensive overview of Data Science. With
the continued advancement in storage and computing technologies,
data science has emerged as one of the most desired fields in
driving business decisions. Data science employs techniques and
methods from many other fields, such as statistics, mathematics,
computer science, and information science. Besides the methods and
theories drawn from several fields, data science uses visualization
techniques using specially designed big data software and
statistical programming language, such as R programming, and
Python. Data Science has wide applications in the areas of Machine
Learning (ML) and Artificial Intelligence (AI). The book is divided
into four different areas divided into different chapters. These
chapters explain the core of Data Science. Part I of the book
introduces the field of Data Science, different disciplines it
comprises of, and the scope with future outlook and career
prospects. This section also explains analytics, business
analytics, and business intelligence and their similarities and
differences with Data Science. Since the data is at the core of
Data science, Part II is devoted to explaining the data, big data,
and other features of data. One full chapter is devoted to Data
Analysis, creating visuals, pivot table, and other applications
using Excel with office 365. Part III explains the statistics
behind Data Science. It uses several chapters to explain the
statistics and its importance, numerical and data visualization
tools and methods, probability, and probability distribution
applications in Data Science. Other chapters in the Part III are
Sampling, Estimation, and Hypothesis Testing. All these are
integral part of Data Science applications. Part IV of the book
provides the basics of Machine Learning (ML) and R-statistical
software. Data Science has wide applications in the areas of
Machine Learning (ML) and Artificial Intelligence (AI) and
R-statistical software is widely used by data science
professionals. The book also outlines a brief history, the body of
knowledge, skills and education requirements for Data Scientist and
data science professionals. Some statistics on job growth and
prospects are also summarized. A career in data science is ranked
at the third best job in America for 2020 by Glassdoor, and was
ranked the number one best job from 2016-2019.[29]
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