Data Literacy In The Real World
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Data Literacy In The Real World
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Author : Kristin Fontichiaro
language : en
Publisher: Maize Books
Release Date : 2017
Data Literacy In The Real World written by Kristin Fontichiaro and has been published by Maize Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Education categories.
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.
Be Data Literate
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Author : Jordan Morrow
language : en
Publisher: Kogan Page Publishers
Release Date : 2021-03-03
Be Data Literate written by Jordan Morrow and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-03 with Business & Economics categories.
WINNER: International Book Awards 2023 - Business: Technology In the fast moving world of the fourth industrial revolution not everyone needs to be a data scientist but everyone should be data literate, with the ability to read, analyze and communicate with data. It is not enough for a business to have the best data if those using it don't understand the right questions to ask or how to use the information generated to make decisions. Be Data Literate is the essential guide to developing the curiosity, creativity and critical thinking necessary to make anyone data literate, without retraining as a data scientist or statistician. With learnings to show development and real-world examples from industries implementing data literacy skills, this book explains how to confidently read and speak the 'language of data' in the modern business environment and everyday life. Be Data Literate is a practical guide to understanding the four levels of analytics, how to analyze data and the key steps to making smarter, data-informed decisions. Written by a founding pioneer and worldwide leading expert on data literacy, this book empowers professionals with the skills they need to succeed in the digital world.
Data Literacy In Practice
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Author : Angelika Klidas
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-11-30
Data Literacy In Practice written by Angelika Klidas and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-30 with Computers categories.
Accelerate your journey to smarter decision making by mastering the fundamentals of data literacy and developing the mindset to work confidently with data Key FeaturesGet a solid grasp of data literacy fundamentals to support your next steps in your careerLearn how to work with data and extract meaningful insights to take the right actionsApply your knowledge to real-world business intelligence projectsBook Description Data is more than a mere commodity in our digital world. It is the ebb and flow of our modern existence. Individuals, teams, and enterprises working with data can unlock a new realm of possibilities. And the resultant agility, growth, and inevitable success have one origin—data literacy. This comprehensive guide is written by two data literacy pioneers, each with a thorough footprint within the data and analytics commercial world and lectures at top universities in the US and the Netherlands. Complete with best practices, practical models, and real-world examples, Data Literacy in Practice will help you start making your data work for you by building your understanding of data literacy basics and accelerating your journey to independently uncovering insights. You'll learn the four-pillar model that underpins all data and analytics and explore concepts such as measuring data quality, setting up a pragmatic data management environment, choosing the right graphs for your readers, and questioning your insights. By the end of the book, you'll be equipped with a combination of skills and mindset as well as with tools and frameworks that will allow you to find insights and meaning within your data for data-informed decision making. What you will learnStart your data literacy journey with simple and actionable stepsApply the four-pillar model for organizations to transform data into insightsDiscover which skills you need to work confidently with dataVisualize data and create compelling visual data storiesMeasure, improve, and leverage your data to meet organizational goalsMaster the process of drawing insights, ask critical questions and action your insightsDiscover the right steps to take when you analyze insightsWho this book is for This book is for data analysts, data professionals, and data teams starting or wanting to accelerate their data literacy journey. If you're looking to develop the skills and mindset you need to work independently with data, as well as a solid knowledge base of the tools and frameworks, you'll find this book useful.
Ai Data Literacy
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Author : Bill Schmarzo
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-07-26
Ai Data Literacy written by Bill Schmarzo and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-26 with Computers categories.
Learn the key skills and capabilities that empower Citizens of Data Science to not only survive but thrive in an AI-dominated world. Purchase of the print or Kindle book includes a free PDF eBook Key Features Prepare for a future dominated by AI and big data Enhance your AI and data literacy with real-world examples Learn how to leverage AI and data to address current and future challenges Book DescriptionAI is undoubtedly a game-changing tool with immense potential to improve human life. This book aims to empower you as a Citizen of Data Science, covering the privacy, ethics, and theoretical concepts you’ll need to exploit to thrive amid the current and future developments in the AI landscape. We'll explore AI's inner workings, user intent, and the critical role of the AI utility function while also briefly touching on statistics and prediction to build decision models that leverage AI and data for highly informed, more accurate, and less risky decisions. Additionally, we'll discuss how organizations of all sizes can leverage AI and data to engineer or create value. We'll establish why economies of learning are more powerful than the economies of scale in a digital-centric world. Ethics and personal/organizational empowerment in the context of AI will also be addressed. Lastly, we'll delve into ChatGPT and the role of Large Language Models (LLMs), preparing you for the growing importance of Generative AI. By the end of the book, you'll have a deeper understanding of AI and how best to leverage it and thrive alongside it.What you will learn Get to know the fundamentals of data literacy, privacy, and analytics Find out what makes AI tick and the role of the AI utility function Make informed decisions using prominent decision-making frameworks Understand relevant statistics and probability concepts Create new sources of value by leveraging and applying AI and data Apply ethical parameters to AI development with real-world examples Find out how to get the most out of ChatGPT and its peers Who this book is forThis book is designed to benefit everyone from students to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their AI and Data literacy.
Creating Data Literate Students
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Author : Kristin Fontichiaro
language : en
Publisher: Maize Books
Release Date : 2017
Creating Data Literate Students written by Kristin Fontichiaro and has been published by Maize Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Education categories.
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 Information Literacy
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Author : Jake Carlson
language : en
Publisher: Purdue University Press
Release Date : 2015-01-15
Data Information Literacy written by Jake Carlson and has been published by Purdue University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-15 with Language Arts & Disciplines categories.
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 Practitioner S Guide
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Author :
language : en
Publisher: Van Haren
Release Date : 2024-03-06
Data Literacy Practitioner S Guide written by and has been published by Van Haren this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-06 with Business & Economics categories.
As kids, we learned our native language: reading, writing, and speaking. You learn a language by starting with grammar, trying it out, making mistakes and improving it. We are flooded with facts and figures daily, but how well do we understand the meaning behind all those numbers? How can we turn this data into value in our day-to-day work and for the organization we work for? The ability to derive meaningful information from data is called Data Literacy. Making sense of data is no longer just a skill for data scientists and technology experts but an essential skill for all of us. Data Literacy is the ability to read, work with, analyze and argue with data. This course is the first step to make you aware of Data Literacy (as an essential skill) and how it impacts your work. You’ll learn the fundamentals and how they relate to working in a data-informed organization. This will be enough for some people to raise the required questions when confronted with data. For others, this is the first step in becoming a fluent data speaker. This Data Literacy Practitioner's Guide consist of four modules, each with its own weight towards the EDF Data Literacy Professional certification exam: Weight Topic Introduction Introduction to Data Literacy Read data 25% The ability to read and interpret data correctly. Which questions we need to ask to avoid fooling ourselves. Work with data 25% What happens to data during its journey from the source to final consumption? How does this impact the understanding and possibilities of this data? Analyze data 25% Data needs to be analyzed, not only read. In this section we’ll have a closer look at how we analyze data. Argue with data 25% Once we have found interesting insights in the data, we need to share this with our audience. In this part we’ll look at what we need to do so our audience understands the data in the best possible way.
Digital Literacy And Inclusion
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Author : Danica Radovanović
language : en
Publisher: Springer Nature
Release Date : 2023-09-30
Digital Literacy And Inclusion written by Danica Radovanović and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-30 with Technology & Engineering categories.
Amid the opportunities and challenges we face at the dawn of the fifth industrial revolution, Digital Literacy and Inclusion presents a carefully curated selection of case studies, theories, research, and best practices based on digital literacy as a prerequisite for effective digital inclusion. More than a dozen experts provide deep insights in stories, research reports, and geographical studies of digital literacy and inclusion models, all from a multi-disciplinary perspective that includes engineering, social sciences, and education. Digital Literacy and Inclusion also highlights a showcase of real-world digital literacy initiatives that have been adopted by communities of practice around the globe. Contributors explore myriad aspects and modalities of digital literacy: digital skills related to creativity, urban data literacy, digital citizenship skills, digital literacy in education, connectivity literacy, online safety skills, problem-solving and critical-thinking digital skills, data literacy skills, mobile digital literacy, algorithmic digital skills, digital health skills, etc. They share the principles and techniques behind successful initiatives and examine the dynamics and structures that enable communities to achieve digital literacy efficiently and sustainably. Their practical solutions, propositions, and findings provide theoretically grounded and evidence-based facts that inform interventions intended to ensure that all citizens have and can enhance their digital literacy while meaningfully and responsibly participating in the digital economy and society. The ideas and histories in this book will appeal to scholars and researchers in the social sciences, engineering, education, sustainable digital technologies, and transformation, and will also be of interest to practitioners in industry, policy, and government.
Data Literacy Fundamentals
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Author : Ben Jones
language : en
Publisher:
Release Date : 2020-07-03
Data Literacy Fundamentals written by Ben Jones and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-03 with categories.
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
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Author : Julia Bauder
language : en
Publisher: American Library Association
Release Date : 2021-07-21
Data Literacy In Academic Libraries written by Julia Bauder and has been published by American Library Association this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-21 with Language Arts & Disciplines categories.
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.
