Data Literacy Fundamentals

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Data Literacy Fundamentals

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Author : Ben Jones
Publisher :
ISBN 13 : 9781733263429
Total Pages : pages
Book Rating : 4.2/5 (634 download)

Book Synopsis Data Literacy Fundamentals by : Ben Jones

Download or read book Data Literacy Fundamentals written by Ben Jones and published by . This book was released on 2020-07-03 with total page pages. Available in PDF, EPUB and Kindle. Book 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

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Author : Ben Jones
Publisher : Data Literacy Press
ISBN 13 : 1733263454
Total Pages : 1 pages
Book Rating : 4.7/5 (332 download)

Book Synopsis Learning to See Data by : Ben Jones

Download or read book Learning to See Data written by Ben Jones and published by Data Literacy Press. This book was released on 2020-12-15 with total page 1 pages. Available in PDF, EPUB and Kindle. Book 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. From that foundation, Ben's approach will inspire you to own the process of developing your skills further." –Andy Cotgreave, Technical Evangelism Director, Tableau

The Basics of Data Literacy

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Author : Michael Bowen
Publisher :
ISBN 13 : 9781938946035
Total Pages : 171 pages
Book Rating : 4.9/5 (46 download)

Book Synopsis The Basics of Data Literacy by : Michael Bowen

Download or read book The Basics of Data Literacy written by Michael Bowen and published by . This book was released on 2014 with total page 171 pages. Available in PDF, EPUB and Kindle. Book 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

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Author : David Herzog
Publisher : SAGE Publications
ISBN 13 : 1483378675
Total Pages : 240 pages
Book Rating : 4.4/5 (833 download)

Book Synopsis Data Literacy by : David Herzog

Download or read book Data Literacy written by David Herzog and published by SAGE Publications. This book was released on 2015-01-29 with total page 240 pages. Available in PDF, EPUB and Kindle. Book 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.

Avoiding Data Pitfalls

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Author : Ben Jones
Publisher : John Wiley & Sons
ISBN 13 : 1119278163
Total Pages : 272 pages
Book Rating : 4.1/5 (192 download)

Book Synopsis Avoiding Data Pitfalls by : Ben Jones

Download or read book Avoiding Data Pitfalls written by Ben Jones and published by John Wiley & Sons. This book was released on 2019-11-19 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Fundamentals

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Author : Ben Jones
Publisher : Data Literacy Press
ISBN 13 : 1733263438
Total Pages : 128 pages
Book Rating : 4.7/5 (332 download)

Book Synopsis Data Literacy Fundamentals by : Ben Jones

Download or read book Data Literacy Fundamentals written by Ben Jones and published by Data Literacy Press. This book was released on 2020-07-03 with total page 128 pages. Available in PDF, EPUB and Kindle. Book 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.

Fundamentals of Literacy Instruction & Assessment, Pre-K-6

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Author : Martha Clare Hougen
Publisher : Brookes Publishing Company
ISBN 13 : 9781681253756
Total Pages : 416 pages
Book Rating : 4.2/5 (537 download)

Book Synopsis Fundamentals of Literacy Instruction & Assessment, Pre-K-6 by : Martha Clare Hougen

Download or read book Fundamentals of Literacy Instruction & Assessment, Pre-K-6 written by Martha Clare Hougen and published by Brookes Publishing Company. This book was released on 2020 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This core text introduces pre-service teachers to the essential components of literacy and describes how to effectively deliver explicit, evidence-based instruction on each component"--

Storytelling with Data

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Author : Cole Nussbaumer Knaflic
Publisher : John Wiley & Sons
ISBN 13 : 1119002265
Total Pages : 284 pages
Book Rating : 4.1/5 (19 download)

Book Synopsis Storytelling with Data by : Cole Nussbaumer Knaflic

Download or read book Storytelling with Data written by Cole Nussbaumer Knaflic and published by John Wiley & Sons. This book was released on 2015-10-09 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!

Big Data Fundamentals

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Author : Thomas Erl
Publisher : Prentice Hall
ISBN 13 : 0134291204
Total Pages : 424 pages
Book Rating : 4.1/5 (342 download)

Book Synopsis Big Data Fundamentals by : Thomas Erl

Download or read book Big Data Fundamentals written by Thomas Erl and published by Prentice Hall. This book was released on 2015-12-29 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: “This text should be required reading for everyone in contemporary business.” --Peter Woodhull, CEO, Modus21 “The one book that clearly describes and links Big Data concepts to business utility.” --Dr. Christopher Starr, PhD “Simply, this is the best Big Data book on the market!” --Sam Rostam, Cascadian IT Group “...one of the most contemporary approaches I’ve seen to Big Data fundamentals...” --Joshua M. Davis, PhD The Definitive Plain-English Guide to Big Data for Business and Technology Professionals Big Data Fundamentals provides a pragmatic, no-nonsense introduction to Big Data. Best-selling IT author Thomas Erl and his team clearly explain key Big Data concepts, theory and terminology, as well as fundamental technologies and techniques. All coverage is supported with case study examples and numerous simple diagrams. The authors begin by explaining how Big Data can propel an organization forward by solving a spectrum of previously intractable business problems. Next, they demystify key analysis techniques and technologies and show how a Big Data solution environment can be built and integrated to offer competitive advantages. Discovering Big Data’s fundamental concepts and what makes it different from previous forms of data analysis and data science Understanding the business motivations and drivers behind Big Data adoption, from operational improvements through innovation Planning strategic, business-driven Big Data initiatives Addressing considerations such as data management, governance, and security Recognizing the 5 “V” characteristics of datasets in Big Data environments: volume, velocity, variety, veracity, and value Clarifying Big Data’s relationships with OLTP, OLAP, ETL, data warehouses, and data marts Working with Big Data in structured, unstructured, semi-structured, and metadata formats Increasing value by integrating Big Data resources with corporate performance monitoring Understanding how Big Data leverages distributed and parallel processing Using NoSQL and other technologies to meet Big Data’s distinct data processing requirements Leveraging statistical approaches of quantitative and qualitative analysis Applying computational analysis methods, including machine learning

AI Literacy Fundamentals

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Author : Ben Jones
Publisher :
ISBN 13 : 9781960907073
Total Pages : 0 pages
Book Rating : 4.9/5 (7 download)

Book Synopsis AI Literacy Fundamentals by : Ben Jones

Download or read book AI Literacy Fundamentals written by Ben Jones and published by . This book was released on 2024-03-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Feeling overwhelmed by AI? It's not you-it's the breakneck speed of technological progress. To quickly get into the AI conversation, you need a clear and simple foundation of knowledge to build on. This book is a friendly primer on the basic concepts of AI, how it's already snuck into our daily lives, and what we need to know to prepare for the future. Ben Jones, an expert at breaking down technical concepts from teaching thousands of people the basics of data literacy, lays out everything you need to know to join the AI conversation, from the history of AI to the deep learning revolution happening today. This technology is here to stay. Time for you to pull a seat up to the table. Praise for AI Literacy Fundamentals: "I can't think of a better written and more thoroughly researched introduction to the fundamental concepts of AI Literacy than Ben's wonderful book. I cannot recommend it enough. Read. Be inspired. Be ready for our changing world." -James Wilson, author of Artificial Negligence

Tableau Prep: Up & Running

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Author : Carl Allchin
Publisher : O'Reilly Media
ISBN 13 : 1492079596
Total Pages : 444 pages
Book Rating : 4.4/5 (92 download)

Book Synopsis Tableau Prep: Up & Running by : Carl Allchin

Download or read book Tableau Prep: Up & Running written by Carl Allchin and published by O'Reilly Media. This book was released on 2020-08-03 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: For self-service data preparation, Tableau Prep is relatively easy to use—as long as you know how to clean and organize your datasets. Carl Allchin, from The Information Lab in London, gets you up to speed on Tableau Prep through a series of practical lessons that include methods for preparing, cleaning, automating, organizing, and outputting your datasets. Based on Allchin’s popular blog, Preppin’ Data, this practical guide takes you step-by-step through Tableau Prep’s fundamentals. Self-service data preparation reduces the time it takes to complete data projects and improves the quality of your analyses. Discover how Tableau Prep helps you access your data and turn it into valuable information. Know what to look for when you prepare data Learn which Tableau Prep functions to use when working with data fields Analyze the shape and profile of your dataset Output data for analysis and learn how Tableau Prep automates your workflow Learn how to clean your dataset using Tableau Prep functions Explore ways to use Tableau Prep techniques in real-world scenarios Make your data available to others by managing and documenting the output

Data Information Literacy

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Author : Jake Carlson
Publisher : Purdue University Press
ISBN 13 : 1612493521
Total Pages : 282 pages
Book Rating : 4.6/5 (124 download)

Book Synopsis Data Information Literacy by : Jake Carlson

Download or read book Data Information Literacy written by Jake Carlson and published by Purdue University Press. This book was released on 2015-01-15 with total page 282 pages. Available in PDF, EPUB and Kindle. Book 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 the project's website: datainfolit.org.

Data Literacy in Practice

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Author : Angelika Klidas
Publisher : Packt Publishing Ltd
ISBN 13 : 1803232358
Total Pages : 396 pages
Book Rating : 4.8/5 (32 download)

Book Synopsis Data Literacy in Practice by : Angelika Klidas

Download or read book Data Literacy in Practice written by Angelika Klidas and published by Packt Publishing Ltd. This book was released on 2022-11-30 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Literacy in the Real World

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Author : Kristin Fontichiaro
Publisher : Maize Books
ISBN 13 : 9781607854524
Total Pages : 0 pages
Book Rating : 4.8/5 (545 download)

Book Synopsis Data Literacy in the Real World by : Kristin Fontichiaro

Download or read book Data Literacy in the Real World written by Kristin Fontichiaro and published by Maize Books. This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Analytics for Absolute Beginners: a Deconstructed Guide to Data Literacy

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Author : Oliver Theobald
Publisher :
ISBN 13 : 9781081762469
Total Pages : 88 pages
Book Rating : 4.7/5 (624 download)

Book Synopsis Data Analytics for Absolute Beginners: a Deconstructed Guide to Data Literacy by : Oliver Theobald

Download or read book Data Analytics for Absolute Beginners: a Deconstructed Guide to Data Literacy written by Oliver Theobald and published by . This book was released on 2019-07-21 with total page 88 pages. Available in PDF, EPUB and Kindle. Book 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

Learning from Data

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Author : Yaser S. Abu-Mostafa
Publisher :
ISBN 13 : 9781600490064
Total Pages : 201 pages
Book Rating : 4.4/5 (9 download)

Book Synopsis Learning from Data by : Yaser S. Abu-Mostafa

Download or read book Learning from Data written by Yaser S. Abu-Mostafa and published by . This book was released on 2012-01-01 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Literacy

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Author : Peter Aiken
Publisher :
ISBN 13 : 9781634629584
Total Pages : pages
Book Rating : 4.6/5 (295 download)

Book Synopsis Data Literacy by : Peter Aiken

Download or read book Data Literacy written by Peter Aiken and published by . This book was released on 2021-10 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: