Название: Applied Data Science: Data Translators Across the Disciplines
Автор: Douglas G. Woolford, Donna Kotsopoulos, Boba Samuels
Издательство: Springer
Серия: Studies in Big Data
Год: 2023
Страниц: 195
Язык: английский
Формат: pdf (true), epub
Размер: 32.0 MB

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.

In today’s world, a large amount of data is being generated every second in each and every sector of the economy and society. This has pushed the scientific community and computer engineers to focus on the creation of advanced software and techniques that allow the users to collect, store, process, and analyze large and complex data sets. The need to extract structure and patterns requires the availability of high-quality data and use of advanced software and techniques. In business-oriented environments, a high number of managerial and strategic decisions are heavily based on insights from data analyses related to core business processes and consumer behavior.

This chapter provides both theoretical as well as practical hands-on experience using advanced data analysis and data visualization software. In the context of management education, this includes instructions on how to improve data literacy using two user-friendly software applications known as Tableau Prep Builder and Tableau Desktop.