Data Science

A Hands-On Introduction to Data Science

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Data science is one of the fastest-growing disciplines at the university level. We see more job postings that require training in data science, more academic appointments in the field, and more courses offered, both online and in traditional settings. It could be argued that data science is nothing novel, but just statistics through a different lens. What matters is that we are living in an era in which the kind of problems that could be solved using data are driving a huge wave of innovations in various industries – from healthcare to education, and from finance to policy-making. More importantly, data and data analysis are playing an increasingly large role in our day-to-day life, including in our democracy. Thus, knowing the basics of data and data analysis has become a fundamental skill that everyone needs, even if they do not want to pursue a degree in computer science, statistics, or data science. Recognizing this, many educational institutions have started developing and offering not just degrees and majors in the field but also minors and certificates in data science that are geared toward students who may not become data scientists but could still benefit from data literacy skills in the same way every student learns basic reading, writing, and comprehension skills. This book is not just for data science majors but also for those who want to develop their data literacy. It is organized in a way that provides a very easy entry for almost anyone to become introduced to data science, but it also has enough fuel to take one from that beginning stage to a place where they feel comfortable obtaining and processing data for deriving important insights. In addition to providing basics of data and data processing, the book teaches standard tools and techniques. It also examines implications of the use of data in areas such as privacy, ethics, and fairness. Finally, as the name suggests, this text is meant to provide a hands-on introduction to these topics. Almost everything presented in the book is accompanied by examples and exercises that one could try – sometimes by hand and other times using the tools taught here. In teaching these topics myself, I have found this to be a very effective method. The remainder of this preface explains how this book is organized, how it could be used for fulfilling various teaching needs, and what specific requirements a student needs to meet to make the most out of it.

Source:
https://freecomputerbooks.com/Exploring-Data-Science.html
https://vdoc.pub/download/a-hands-on-introduction-to-data-science-55fcj69hgjq0

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Ketersediaan

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Informasi Detail

Judul Seri

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No. Panggil

005.12 SHA a

Penerbit

United Kindom : Cambridge University Press., 2020

Deskripsi Fisik

xxiii + 433 pages

Bahasa

English

ISBN/ISSN

978-1-108-47244-9

Klasifikasi

005.12

Tipe Isi

Text dan Gambar

Edisi/Cetakan

Edisi/Cetakan Pertama 2020

Subjek

eBook
Data Science

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