Data Analytic Literacy / / Andrew Banasiewicz.

• Superior document: Title is part of eBook package: De Gruyter DG Plus DeG Package 2023 Part 1
• VerfasserIn: Banasiewicz, Andrew,
• MitwirkendeR: Banasiewicz, Andrew,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2023]; ©2023
• Year of Publication: 2023
• Language: English
• Physical Description: 1 online resource (XX, 220 p.)
• Other title: Frontmatter --; Preface --; Contents --; About the Author --; Part I: Literacy in the Digital World --; Introduction --; Chapter 1 Literacy and Numeracy as Foundations of Modern Societies --; Chapter 2 Reframing the Idea of Digital Literacy --; Part II: The Structure of Data Analytic Literacy --; Chapter 3 Data Analytic Literacy: The Knowledge Meta- Domain --; Chapter 4 Knowledge of Data --; Chapter 5 Knowledge of Methods --; Chapter 6 Data Analytic Literacy: The Skills Meta-Domain --; Chapter 7 Computing Skills --; Chapter 8 Sensemaking Skills --; Part III: The Transformational Value of Data Analytic Literacy --; Chapter 9 Right Here, Right Now: Data-Driven Decision-Making --; Chapter 10 Going Beyond: Bridging Data Analytics and Creativity --; List of Figures --; List of Tables --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9783111001678; 9783111175782; 9783111319070; 9783111319292; 9783111318912; 9783111318134
• DOI: 10.1515/9783111001678
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Andrew Banasiewicz.

The explosive growth in volume and varieties of data generated by the seemingly endless arrays of digital systems and applications is rapidly elevating the importance of being able to utilize data; in fact, data analytic literacy is becoming as important now, at the onset of the Digital Era, as rudimentary literacy and numeracy were throughout the Industrial Era. And yet, what constitutes data analytic literacy is poorly understood. To some, data analytic literacy is the ability to use basic statistics, to others it is data science ‘light’, and to still others it is just general familiarity with common data analytic outcomes. Exploring the scope and the structure of rudimentary data analytic competencies is at the core of this book which takes the perspective that data analytics is a new and distinct domain of knowledge and practice. It offers application-minded framing of rudimentary data analytic competencies built around conceptually sound and practically meaningful processes and mechanics of systematically transforming messy and heterogeneous data into informative insights. Data Analytic Literacy is meant to offer an easy-to-follow overview of the critical elements of the reasoning behind basic data manipulation and analysis approaches and steps, coupled with the commonly used data analytic and data communication techniques and tools. It offers an all-inclusive guide to developing basic data analytic competencies.