Applied Data Science: Data Translators Across the Disciplines (Studies in Big Data, 125)

✍ Scribed by Douglas G. Woolford (editor), Donna Kotsopoulos (editor), Boba Samuels (editor)

Publisher: Springer
Year: 2023
Tongue: English
Leaves: 202
Edition: 1st ed. 2023
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

The use of data to guide action is growing. Even the public uses data to guide everyday decisions! How do we develop data acumen across a broad range of fields and varying levels of expertise? How do we foster the development of effective data translators? This book explores these questions, presenting an interdisciplinary collection of edited contributions across fields such as education, health sciences, natural sciences, politics, economics, business and management studies, social sciences, and humanities. Authors illustrate how to use data within a discipline, including visualization and analysis, translating and communicating results, and pedagogical considerations. This book is of interest to scholars and anyone looking to understand the use of data science across disciplines. It is ideal in a course for non-data science majors exploring how data translation occurs in various contexts and for professionals looking to engage in roles requiring data translation.

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