Be Data Literate

Be Data Literate
Author: Jordan Morrow
Publsiher: Kogan Page
Total Pages: 288
Release: 2021-03-30
Genre: Electronic Book
ISBN: 1789668034

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Develop the curiosity, creativity and critical thinking needed to confidently interpret, analyze and communicate with data in the workplace.

Data Literacy

Data Literacy
Author: David Herzog
Publsiher: SAGE Publications
Total Pages: 224
Release: 2015-01-29
Genre: Language Arts & Disciplines
ISBN: 9781483378671

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A practical, skill-based introduction to data analysis and literacy We are swimming in a world of data, and this handy guide will keep you afloat while you learn to make sense of it all. In Data Literacy: A User's Guide, David Herzog, a journalist with a decade of experience using data analysis to transform information into captivating storytelling, introduces students and professionals to the fundamentals of data literacy, a key skill in today’s world. Assuming the reader has no advanced knowledge of data analysis or statistics, this book shows how to create insight from publicly-available data through exercises using simple Excel functions. Extensively illustrated, step-by-step instructions within a concise, yet comprehensive, reference will help readers identify, obtain, evaluate, clean, analyze and visualize data. A concluding chapter introduces more sophisticated data analysis methods and tools including database managers such as Microsoft Access and MySQL and standalone statistical programs such as SPSS, SAS and R.

Data Literacy

Data Literacy
Author: Neil Smalheiser
Publsiher: Academic Press
Total Pages: 282
Release: 2017-09-05
Genre: Medical
ISBN: 9780128113073

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Data Literacy: How to Make Your Experiments Robust and Reproducible provides an overview of basic concepts and skills in handling data, which are common to diverse areas of science. Readers will get a good grasp of the steps involved in carrying out a scientific study and will understand some of the factors that make a study robust and reproducible.The book covers several major modules such as experimental design, data cleansing and preparation, statistical analysis, data management, and reporting. No specialized knowledge of statistics or computer programming is needed to fully understand the concepts presented. This book is a valuable source for biomedical and health sciences graduate students and researchers, in general, who are interested in handling data to make their research reproducible and more efficient. Presents the content in an informal tone and with many examples taken from the daily routine at laboratories Can be used for self-studying or as an optional book for more technical courses Brings an interdisciplinary approach which may be applied across different areas of sciences

The Basics of Data Literacy

The Basics of Data Literacy
Author: Michael Bowen,Anthony Bartley
Publsiher: Unknown
Total Pages: 171
Release: 2014
Genre: Graphic methods
ISBN: 1938946030

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Here's the ideal statistics book for teachers with no statistical background. Written in an informal style with easy-to-grasp examples, The Basics of Data Literacy teaches you how to help your students understand data. Then, in turn, they learn how to collect, summarize, and analyze statistics inside and outside the classroom. The books 10 succinct chapters provide an introduction to types of variables and data, ways to structure and interpret data tables, simple statistics, and survey basics from a student perspective. The appendices include hands-on activities tailored to middle and high school investigations. Because data are so central to many of the ideas in the Next Generation Science Standards, the ability to work with such information is an important science skill for both you and your students. This accessible book will help you get over feeling intimidated as your students learn to evaluate messy data on the Internet, in the news, and in future negotiations with car dealers and insurance agents.

Data Literacy Fundamentals

Data Literacy Fundamentals
Author: Ben Jones
Publsiher: Unknown
Total Pages: 135
Release: 2020-07-03
Genre: Electronic Book
ISBN: 173326342X

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The vast majority of people in the world today do not receive a formal education that adequately prepares them for the level of data literacy required of them in their careers and by their communities. As a result, many are being left behind by the transition to data-driven dialogues and decisions all around them, and they're seeking ways to break down the barriers that are preventing them from participating. Data Literacy Fundamentals covers foundational topics such as the overall goal of data, various ways of measuring and categorizing the world, five different forms of data analysis and when they apply, pros and cons related to how we display data in tabular or graphic form, and the way teams work together to convert data into insight.This book has been written for anyone who is just getting started with data and who wants to feel more confident in their understanding of what it is, what it isn't, and what it's used for. This invaluable resource will cure you of your "dataphobia", teach you the basic concepts of data, and set you on a path of learning that will ultimately result in fluency in the language of data.

Data Literacy in Academic Libraries

Data Literacy in Academic Libraries
Author: Julia Bauder
Publsiher: American Library Association
Total Pages: 135
Release: 2021-06-22
Genre: Language Arts & Disciplines
ISBN: 9780838937495

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The strategies and initiatives detailed in this book will empower data librarians, information literacy instructors, library liaisons, and reference staff to successfully incorporate data literacy into their work.

17 Key Traits of Data Literacy

17 Key Traits of Data Literacy
Author: Ben Jones
Publsiher: Data Literacy Press
Total Pages: 22
Release: 2019-06-26
Genre: Business & Economics
ISBN: 9781733263405

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Organizations are waking up to the reality that in order to become more data-driven, they need to attract and develop highly data literate team members. But what does it mean to be highly data literate? Find out the types of knowledge and skills that these sought-after contributors possess, as well as the attitudes and behaviors that they demonstrate on a regular basis. This booklet includes a checklist for taking stock of your own strengths and opportunities for development, and exclusive quotes from thought-leaders and top authors in the data world.

Data Literacy for Educators

Data Literacy for Educators
Author: Ellen B. Mandinach,Edith S. Gummer
Publsiher: Teachers College Press
Total Pages: 157
Release: 2016
Genre: Education
ISBN: 9780807774694

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Data literacy has become an essential skill set for teachers as education becomes more of an evidence-based profession. Teachers in all stages of professional growth need to learn how to use data effectively and responsibly to inform their teaching practices. This groundbreaking resource describes data literacy for teaching, emphasizing the important relationship between data knowledge and skills and disciplinary and pedagogical content knowledge. Case studies of emerging programs in schools of education are used to illustrate the key components needed to integrate data-driven decisionmaking into the teaching curricula. The book offers a clear path for change while also addressing the inherent complexities associated with change. Data Literacy for Educators provides concrete strategies for schools of education, professional developers, and school districts. Book Features: Defines data literacy for teaching and outlines the knowledge and skills it comprises. Uses examples and case studies that tie theory to practice. Provides a roadmap for integrating data literacy into teacher preparation programs. Covers emerging trends, such as virtual and hybrid courses and massive open online courses. “This thoughtful, well-organized book raises the challenges that beginning and experienced teachers face in becoming more data literate to increase their pedagogical effectiveness in their classrooms.” —From the Foreword by Barbara Schneider “Deans of colleges of education, practicing teachers, education advocates, and many others will find useful information here.” —Benjamin Riley, Deans for Impact “This work should join the ‘common core’ of teacher education and professional development programs.” —Lee S. Shulman, The Carnegie Foundation for the Advancement of Teaching “The authors lay out a compelling call to action to ensure that every teacher in this country has the skills, knowledge, and disposition in knowing how to use data to inform effective teaching.” —Aimee Rogstad Guidera, Data Quality Campaign

Learning to See Data

Learning to See Data
Author: Ben Jones
Publsiher: Data Literacy Press
Total Pages: 254
Release: 2020-12-15
Genre: Business & Economics
ISBN: 9781733263450

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This book is associated with the 'Data Literacy Level 1' on-demand online course: https://dataliteracy.com/courses/data-literacy-level-1 For most of us, it's rare to go a full day without coming across data in the form of a chart, map or dashboard. Graphical displays of data are all around us, from performance indicators at work to election trackers on the news to traffic maps on the road. But few of us have received training or instruction in how to actually read and interpret them. How many times have we been misled simply because we aren't aware of the pitfalls to avoid when interpreting data visualizations. Learning to See Data will teach you the different ways that data can be encoded in graphical form, and it will give you a deeper understanding of the way our human visual system interprets these encodings. You will also learn about the most common chart types, and the situations in which they are most appropriate. From basic bar charts to overused pie charts to helpful maps and many more, a wide array of chart types are covered in detail, and conventions, pitfalls, strengths and weaknesses of each of them are revealed. This book will help you develop fluency in the interpretation of charts, an ability that we all need to hone and perfect if we are to make meaningful contributions in the professional, public and personal arenas of life. The principles covered in it also serve as a critical background for anyone looking to create charts that others will be able to understand. "This book is clear and evocative, thorough and thoughtful, and remarkably readable: a marvelous launchpad into the world of data." –Tamara Munzner, Professor, University of British Columbia Computer Science "Everyone of us needs good data literacy skills to survive in the modern world. Without them, it's hard to succeed at work, or survive the onslaught of information (and misinformation) across all our media. Ben's book provides the necessary building blocks for a strong foundation. From that foundation, Ben's approach will inspire you to own the process of developing your skills further." –Andy Cotgreave, Technical Evangelism Director, Tableau

Creating Data Literate Students

Creating Data Literate Students
Author: Kristin Fontichiaro,Jo Angela Oehrli,Amy Lennex
Publsiher: Michigan Publishing Services
Total Pages: 366
Release: 2017
Genre: Education
ISBN: 1607854244

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Creating Data Literate Students provides high school librarians and educators with foundational domain knowledge to teach a new subset of information literacy skills -- data and statistical literacy, including: statistics and data comprehension; data as argument; and data visualization. Data -- both raw and displayed in visualizations -- can clarify or confuse, confirm or deny, persuade or deter. Students often learn that numbers are objective, though data in the real world is rarely so. In fact, visualized data -- even from authoritative sources -- can sometimes be anything but objective. Librarians and classroom educators need to be as fluent with quantitative data as they are with text in order to support high schoolers as they engage with data in formal and informal settings. We asked contributors to this volume -- experts in high school curriculum, information literacy and/or data literacy -- to explore the intersections between data and curriculum and identify high-impact strategies for demystifying data for educators and students alike.

Data Literacy

Data Literacy
Author: Peter Aiken,Todd Harbour
Publsiher: Unknown
Total Pages: 135
Release: 2021-10
Genre: Electronic Book
ISBN: 1634629582

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Becoming Data Literate

Becoming Data Literate
Author: David Reed
Publsiher: Harriman House Limited
Total Pages: 212
Release: 2021-08-31
Genre: Business & Economics
ISBN: 9780857199287

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Data is a must-have for any business looking to thrive. So is having leadership who 'get' data and use it to support their decision-making. But how do you embed the use of data and analytics across your organisation so they truly support every process end-to-end? Becoming data literate in this way is a journey that involves vision, strategy, value creation, culture and data foundations. With an evidence-based framework to guide you, this book lays out a roadmap to ensure you get where you need to go.

Data Literacy in the Real World

Data Literacy in the Real World
Author: Kristin Fontichiaro,Amy Lennex,Kelly Hovinga,Jo Angela Oehrli
Publsiher: Michigan Publishing Services
Total Pages: 292
Release: 2017-11-06
Genre: Education
ISBN: 160785452X

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Knowing how to recognize the role data plays in our lives is critical to navigating today's complex world. In this volume, you'll find two kinds of professional development tools to support that growth. Part I contains pre-made professional development via links to webinars from the 2016 and 2017 4T Virtual Conference on Data Literacy, along with discussion questions and activities that can animate conversations around data in your school. Part II explores data "in the wild" with case studies pulled from the headlines, along with provocative discussion questions, professionals and students alike can explore multiple perspectives at play with Big Data, data privacy, personal data management, ethical data use, and citizen science.

Data Literacy for Teachers

Data Literacy for Teachers
Author: Nancy Love
Publsiher: Dude Publishing
Total Pages: 6
Release: 2011
Genre: Academic achievement
ISBN: 1935609378

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Research Data Management and Data Literacies

Research Data Management and Data Literacies
Author: Koltay Tibor
Publsiher: Chandos Publishing
Total Pages: 196
Release: 2021-10-31
Genre: Language Arts & Disciplines
ISBN: 9780323860024

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Research Data Management and Data Literacies help researchers familiarize themselves with RDM, and with the services increasingly offered by libraries. This new volume looks at data-intensive science, or ‘Science 2.0’ as it is sometimes termed in commentary, from a number of perspectives, including the tasks academic libraries need to fulfil, new services that will come online in the near future, data literacy and its relation to other literacies, research support and the need to connect researchers across the academy, and other key issues, such as ‘data deluge,’ the importance of citations, metadata and data repositories. This book presents a solid resource that contextualizes RDM, including good theory and practice for researchers and professionals who find themselves tasked with managing research data. Gives guidance on organizing, storing, preserving and sharing research data using Research Data Management (RDM) Contextualizes RDM within the global shift to data-intensive research Helps researchers and information professionals understand and optimize data-intensive ways of working Considers RDM in relation to varying needs of researchers across the sciences and humanities Presents key issues surrounding RDM, including data literacy, citations, metadata and data repositories