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Data Literacy

Download Data Literacy Full eBooks in PDF, EPUB, and kindle. Data Literacy is one my favorite book and give us some inspiration, very enjoy to read. you could read this book anywhere anytime directly from your device.

Be Data Literate

Be Data Literate Book
Author : Jordan Morrow
Publisher : Kogan Page
Release : 2021-03-30
ISBN : 9781789668032
Language : En, Es, Fr & De

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Book Description :

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

Data Literacy

Data Literacy Book
Author : David Herzog
Publisher : SAGE Publications
Release : 2015-01-29
ISBN : 1483378675
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Neil Smalheiser
Publisher : Academic Press
Release : 2017-09-05
ISBN : 0128113073
Language : En, Es, Fr & De

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Book Description :

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 for Educators

Data Literacy for Educators Book
Author : Ellen B. Mandinach,Edith S. Gummer
Publisher : Teachers College Press
Release : 2016
ISBN : 0807774693
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Ben Jones
Publisher : Data Literacy Press
Release : 2020-12-15
ISBN : 1733263454
Language : En, Es, Fr & De

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Book Description :

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

Data Literacy Fundamentals

Data Literacy Fundamentals Book
Author : Ben Jones
Publisher : Unknown
Release : 2020-07-03
ISBN : 9781733263429
Language : En, Es, Fr & De

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Book Description :

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.

The Basics of Data Literacy

The Basics of Data Literacy Book
Author : Michael Bowen,Anthony Bartley
Publisher : Unknown
Release : 2014
ISBN : 9781938946035
Language : En, Es, Fr & De

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Book Description :

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.

17 Key Traits of Data Literacy

17 Key Traits of Data Literacy Book
Author : Ben Jones
Publisher : Data Literacy Press
Release : 2019-06-26
ISBN : 1733263403
Language : En, Es, Fr & De

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Book Description :

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

Data Information Literacy Book
Author : Jake Carlson,Lisa R. Johnston
Publisher : Purdue University Press
Release : 2015-01-15
ISBN : 1612493521
Language : En, Es, Fr & De

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Book Description :

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 the project's website: datainfolit.org.

Data Literacy

Data Literacy Book
Author : Peter Aiken,Todd Harbour
Publisher : Unknown
Release : 2021-10
ISBN : 9781634629584
Language : En, Es, Fr & De

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Book Description :

Download Data Literacy book written by Peter Aiken,Todd Harbour, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Becoming Data Literate

Becoming Data Literate Book
Author : David Reed
Publisher : Harriman House Limited
Release : 2021-08-31
ISBN : 0857199285
Language : En, Es, Fr & De

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Book Description :

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 Academic Libraries

Data Literacy in Academic Libraries Book
Author : Julia Bauder
Publisher : ALA Editions
Release : 2021
ISBN : 9780838937501
Language : En, Es, Fr & De

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Book Description :

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.

Data Analytics for Absolute Beginners a Deconstructed Guide to Data Literacy

Data Analytics for Absolute Beginners  a Deconstructed Guide to Data Literacy Book
Author : Oliver Theobald
Publisher : Unknown
Release : 2019-07-21
ISBN : 9781081762469
Language : En, Es, Fr & De

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Book Description :

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

Data Literacy in Academic Libraries Book
Author : Julia Bauder
Publisher : American Library Association
Release : 2021-06-22
ISBN : 0838937497
Language : En, Es, Fr & De

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Book Description :

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.

Avoiding Data Pitfalls

Avoiding Data Pitfalls Book
Author : Ben Jones
Publisher : John Wiley & Sons
Release : 2019-11-19
ISBN : 1119278163
Language : En, Es, Fr & De

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Book Description :

Avoid data blunders and create truly useful visualizations Avoiding Data Pitfalls is a reputation-saving handbook for those who work with data, designed to help you avoid the all-too-common blunders that occur in data analysis, visualization, and presentation. Plenty of data tools exist, along with plenty of books that tell you how to use them—but unless you truly understand how to work with data, each of these tools can ultimately mislead and cause costly mistakes. This book walks you step by step through the full data visualization process, from calculation and analysis through accurate, useful presentation. Common blunders are explored in depth to show you how they arise, how they have become so common, and how you can avoid them from the outset. Then and only then can you take advantage of the wealth of tools that are out there—in the hands of someone who knows what they're doing, the right tools can cut down on the time, labor, and myriad decisions that go into each and every data presentation. Workers in almost every industry are now commonly expected to effectively analyze and present data, even with little or no formal training. There are many pitfalls—some might say chasms—in the process, and no one wants to be the source of a data error that costs money or even lives. This book provides a full walk-through of the process to help you ensure a truly useful result. Delve into the "data-reality gap" that grows with our dependence on data Learn how the right tools can streamline the visualization process Avoid common mistakes in data analysis, visualization, and presentation Create and present clear, accurate, effective data visualizations To err is human, but in today's data-driven world, the stakes can be high and the mistakes costly. Don't rely on "catching" mistakes, avoid them from the outset with the expert instruction in Avoiding Data Pitfalls.

Data Literacy in the Real World

Data Literacy in the Real World Book
Author : Kristin Fontichiaro,Amy Lennex,Kelly Hovinga,Jo Angela Oehrli
Publisher : Michigan Publishing Services
Release : 2017-11-06
ISBN : 9781607854524
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Nancy Love
Publisher : Dude Publishing
Release : 2011
ISBN : 9781935609377
Language : En, Es, Fr & De

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Book Description :

Download Data Literacy for Teachers book written by Nancy Love, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Research Data Management and Data Literacies

Research Data Management and Data Literacies Book
Author : Koltay Tibor
Publisher : Chandos Publishing
Release : 2021-10-31
ISBN : 0323860028
Language : En, Es, Fr & De

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Book Description :

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

Turning Data Into Wisdom

Turning Data Into Wisdom Book
Author : Kevin Hanegan
Publisher : Unknown
Release : 2021-01-14
ISBN : 9781629672052
Language : En, Es, Fr & De

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Book Description :

Turning Data into Wisdom: How We Can Collaborate with Data to Change Ourselves, Our Organizations, and Even the World presents a 6-phase, 12-step process to help those at all levels of an organization use their knowledge, skills, and experience to make data-informed decisions that can help transform their companies-and sometimes, even the world. The many real-life examples and case studies as well as tools, definitions, and templates will help you feel equipped and empowered to understand, seek out, and discuss data with others, ultimately using this information to make the best decisions for your business and the people it serves. When you think of data, do you think of complex charts and dashboards, things that are best left up to the experts to decipher? It's time to debunk that myth.In this book, you will discover the following:- What data literacy is (it's more than just reading a chart)- Why everyone should have a basic understanding of data literacy (your opinion matters)- How our brains make decisions (there is a science to decision-making)- How to become aware of individual and organizational bias (so we can grow as people while avoiding costly mistakes)- How to turn data into wisdom (a clear process and methodology for turning data Information into powerful insights for your company)

How to Lie with Statistics

How to Lie with Statistics Book
Author : Darrell Huff
Publisher : W. W. Norton & Company
Release : 2010-12-07
ISBN : 0393070875
Language : En, Es, Fr & De

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Book Description :

If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.