Be Data Literate Book

Be Data Literate


  • Author : Jordan Morrow
  • Publisher : Kogan Page
  • Release Date : 2021-03-30
  • Genre: Uncategoriezed
  • Pages : 288
  • ISBN 10 : 1789668034

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Be Data Literate Excerpt :

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

Be Data Literate Book

Be Data Literate


  • Author : Jordan Morrow
  • Publisher : Kogan Page
  • Release Date : 2021-03-30
  • Genre: Uncategoriezed
  • Pages : 240
  • ISBN 10 : 1789668018

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Be Data Literate Excerpt :

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

Data Literacy Book

Data Literacy


  • Author : Neil Smalheiser
  • Publisher : Academic Press
  • Release Date : 2017-09-05
  • Genre: Medical
  • Pages : 282
  • ISBN 10 : 9780128113073

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Data Literacy Excerpt :

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

Data Literacy Book

Data Literacy


  • Author : David Herzog
  • Publisher : SAGE Publications
  • Release Date : 2015-01-29
  • Genre: Language Arts & Disciplines
  • Pages : 261
  • ISBN 10 : 9781483378671

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Data Literacy Excerpt :

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.

The Basics of Data Literacy Book
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The Basics of Data Literacy


  • Author : Michael Bowen
  • Publisher : Unknown
  • Release Date : 2014
  • Genre: Graphic methods
  • Pages : 171
  • ISBN 10 : 1938946030

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The Basics of Data Literacy Excerpt :

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 Book

Data Literacy Fundamentals


  • Author : Ben Jones
  • Publisher : Unknown
  • Release Date : 2020-07-03
  • Genre: Uncategoriezed
  • Pages : null
  • ISBN 10 : 173326342X

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Data Literacy Fundamentals Excerpt :

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.

Learning to See Data Book

Learning to See Data


  • Author : Ben Jones
  • Publisher : Data Literacy Press
  • Release Date : 2020-12-15
  • Genre: Business & Economics
  • Pages : 254
  • ISBN 10 : 9781733263450

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Learning to See Data Excerpt :

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. Fr

Data Literacy for Educators Book

Data Literacy for Educators


  • Author : Ellen B. Mandinach
  • Publisher : Teachers College Press
  • Release Date : 2016
  • Genre: Education
  • Pages : 157
  • ISBN 10 : 9780807774694

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Data Literacy for Educators Excerpt :

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 teachi

Data Literacy in Academic Libraries Book

Data Literacy in Academic Libraries


  • Author : Julia Bauder
  • Publisher : ALA Editions
  • Release Date : 2021
  • Genre: Language Arts & Disciplines
  • Pages : null
  • ISBN 10 : 0838937500

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Data Literacy in Academic Libraries Excerpt :

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. We live in a data-driven world, much of it processed and served up by increasingly complex algorithms, and evaluating its quality requires its own skillset. As a component of information literacy, it's crucial that students learn how to think critically about statistics, data, and related visualizations. Here, Bauder and her fellow contributors show how librarians are helping students to access, interpret, critically assess, manage, handle, and ethically use data. Offering readers a roadmap for effectively teaching data literacy at the undergraduate level, this volume explores such topics as the potential for large-scale library/faculty partnerships to incorporate data literacy instruction across the undergraduate curriculum; how the principles of the ACRL Framework for Information Literacy for Higher Education can help to situate data literacy within a broader information literacy context; a report on the expectations of classroom faculty concerning their students' data literacy skills; various ways that librarians can partner with faculty; case studies of two initiatives spearheaded by Purdue University Libraries and University of Houston Libraries that support faculty as they integrate more work with data into their courses; Barnard College's Empirical Reasoning Center, which provides workshops and walk-in consultations to more than a thousand students annually; how a one-shot session using the PolicyMap data mapping tool can be used to teach students from many different disciplines; diving into quantitative data to determine the truth or falsity of potential "fake news" claims; and a for-credit, librarian-taught course on information dissemination and the ethical use of information.

17 Key Traits of Data Literacy Book

17 Key Traits of Data Literacy


  • Author : Ben Jones
  • Publisher : Data Literacy Press
  • Release Date : 2019-06-26
  • Genre: Business & Economics
  • Pages : 23
  • ISBN 10 : 9781733263405

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17 Key Traits of Data Literacy Excerpt :

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 Information Literacy Book

Data Information Literacy


  • Author : Jake Carlson
  • Publisher : Purdue University Press
  • Release Date : 2015-01-15
  • Genre: Language Arts & Disciplines
  • Pages : 272
  • ISBN 10 : 9781612493527

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Data Information Literacy Excerpt :

Given the increasing attention to managing, publishing, and preserving research datasets as scholarly assets, what competencies in working with research data will graduate students in STEM disciplines need to be successful in their fields? And what role can librarians play in helping students attain these competencies? In addressing these questions, this book articulates a new area of opportunity for librarians and other information professionals, developing educational programs that introduce graduate students to the knowledge and skills needed to work with research data. The term "data information literacy" has been adopted with the deliberate intent of tying two emerging roles for librarians together. By viewing information literacy and data services as complementary rather than separate activities, the contributors seek to leverage the progress made and the lessons learned in each service area. The intent of the publication is to help librarians cultivate strategies and approaches for developing data information literacy programs of their own using the work done in the multiyear, IMLS-supported Data Information Literacy (DIL) project as real-world case studies. The initial chapters introduce the concepts and ideas behind data information literacy, such as the twelve data competencies. The middle chapters describe five case studies in data information literacy conducted at different institutions (Cornell, Purdue, Minnesota, Oregon), each focused on a different disciplinary area in science and engineering. They detail the approaches taken, how the programs were implemented, and the assessment metrics used to evaluate their impact. The later chapters include the "DIL Toolkit," a distillation of the lessons learned, which is presented as a handbook for librarians interested in developing their own DIL programs. The book concludes with recommendations for future directions and growth of data information literacy. More information about the DIL project can be found on

Becoming Data Literate Book

Becoming Data Literate


  • Author : David Reed
  • Publisher : Harriman House Limited
  • Release Date : 2021-08-31
  • Genre: Business & Economics
  • Pages : 212
  • ISBN 10 : 9780857199287

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Becoming Data Literate Excerpt :

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 Analytics for Absolute Beginners  a Deconstructed Guide to Data Literacy Book

Data Analytics for Absolute Beginners a Deconstructed Guide to Data Literacy


  • Author : Oliver Theobald
  • Publisher : Unknown
  • Release Date : 2019-07-21
  • Genre: Uncategoriezed
  • Pages : 88
  • ISBN 10 : 1081762462

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Data Analytics for Absolute Beginners a Deconstructed Guide to Data Literacy Excerpt :

While exposure to data has become more or less a daily ritual for the rank-and-file knowledge worker, true understanding-treated in this book as data literacy-resides in knowing what lies behind the data. Everything from the data's source to the specific choice of input variables, algorithmic transformations, and visual representation shape the accuracy, relevance, and value of the data and mark its journey from raw data to business insight. It's also important to grasp the terminology and basic concepts of data analytics as much as it is to have the financial literacy to be successful as a decisionmaker in the business world. In this book, we make sense of data analytics without the assumption that you understand specific data science terminology or advanced programming languages to set you on your path. Topics covered in this book: Data Mining Big Data Machine Learning Alternative Data Data Management Web Scraping Regression Analysis Clustering Analysis Association Analysis Data Visualization Business Intelligence

Data Literacy in Academic Libraries Book

Data Literacy in Academic Libraries


  • Author : Julia Bauder
  • Publisher : American Library Association
  • Release Date : 2021-06-22
  • Genre: Language Arts & Disciplines
  • Pages : 155
  • ISBN 10 : 9780838937495

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Data Literacy in Academic Libraries Excerpt :

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.

Data Literacy Book

Data Literacy


  • Author : Peter Aiken
  • Publisher : Unknown
  • Release Date : 2021-10
  • Genre: Uncategoriezed
  • Pages : null
  • ISBN 10 : 1634629582

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Data Literacy Excerpt :