storytelling with data cole nussbaumer knaflic
Storytelling with Data - Cole Nussbaumer Knaflic, Alex Velez, Mike Cisneros
How do you turn a forgettable graph into a compelling data story? For more than a decade, the team at storytelling with data has helped leading organizations and countless professionals transform their business communications into action-inspiring narratives. Now, they're bringing the best of those lessons to you—in the beloved before-and-after format synonymous with their popular workshops. Through twenty powerful makeovers, watch ineffective charts evolve into engaging visuals that captivate, inform, and lead to smarter decisions. World-renowned data storytellers Mike Cisneros, Alex Velez, and SWD founder Cole Nussbaumer Knaflic guide you through proven methods to strengthen your communications, sharing the thought process behind each redesign so you can confidently apply the concepts to your work. Building on core principles from the international bestseller storytelling with data, refined through thousands of workshops, they demonstrate the straightforward, intentional changes—like simplifying visuals, eliminating clutter, and emphasizing key insights—that will transform your graphs and slides from the expected to the extraordinary. In storytelling with data: before and after, you'll learn how to: Structure stories that connect with your audienceCreate visuals that clarify complex informationApply color, layout, and design to focus attention on what matters mostOvercome common challenges like time constraints and poorly designed templatesCraft narratives ... Unknown localization key: "more"
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Storytelling with Data - Cole Nussbaumer Knaflic
International bestseller with over half a million copies sold! Celebrate a decade of data storytelling with this special 10th anniversary edition of Storytelling with Data. Featuring refreshed visuals, expanded content, and new insights, this collector's edition builds on the classic's foundational lessons, empowering you to craft persuasive data stories. 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 audienceDetermine the appropriate type of graph for your situationRecognize and eliminate the clutter clouding your informationDirect your ... Unknown localization key: "more"
Objev podobné jako Storytelling with Data - Cole Nussbaumer Knaflic
Storytelling with Data - Cole Nussbaumer Knaflic
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.
Objev podobné jako Storytelling with Data - Cole Nussbaumer Knaflic
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Storytelling with You - Cole Nussbaumer Knaflic
Be heard. Change minds. Get people to act. (Inspire them to clap.) Whether presenting in a meeting, delivering a keynote on stage, or simply talking with your colleagues about your latest project, you play a critical role in how information is shared. You determine whether people engage, understand, and take action. In storytelling with you, best-selling author and world-renowned speaker Cole Nussbaumer Knaflic prepares you to develop your story and deliver it with prowess. She unlocks the secrets that have propelled her from self-described introvert to sought-after presenter, distilling lessons learned into this immensely powerful and practical guide. The journey starts by building the foundation for effective communication: gaining an understanding of your audience and message. You’ll then learn to transform your ideas into compelling stories and illustrative content. Once the materials are set, you’ll turn your attention inward and explore strategies to hone your delivery and communicate with confidence, preparing you for exceptional meetings and knockout presentations. Give your hard work a voice and amplify your impact by communicating in a way that makes people want to listen and respond—storytelling with you will help you do it.
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Daphne Draws Data - Cole Nussbaumer Knaflic
With every stroke of her crayon, Daphne transforms numbers into stories, helping new friends solve their problems with the power of data! Daphne is not your ordinary dragon. She doesn't breathe fire—she breathes life into numbers, turning them into pictures that unravel mysteries, forge friendships, and save the day! From the imaginative mind of bestselling author Cole Nussbaumer Knaflic and the vibrant illustrations of John Skewes comes a story that will captivate kids and parents alike. Follow Daphne’s journey to distant lands, where numbers are heroes in disguise and her adventures teach the basics of graphs in a way that’s fun, interactive, and empowering. Young readers will be delighted by the endearing character of Daphne. They’ll be equally enchanted by her colorful companions, amazed by her clever lessons, and inspired to build their own analytical skills (STEM). Daphne’s story isn’t solely about data; it’s also about appreciating that everyone has their own special talents. It's about teamwork, creativity, and the beauty of seeing the world through a different lens. Dive into Daphne Draws Data and let your child draw their own conclusions, both on the page and in the world. This smart tale is perfect for bedtime stories, classroom reads, ... Unknown localization key: "more"
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Data Storytelling with Generative AI - Angelica Duca
Great data presentations tell a story. Learn how to organize, visualize, and present data using Python, generative AI, and the cutting-edge Altair data analysis toolkit.After you''ve crunched, sliced, and organized your data behind the scenes, you need to present it in a way that tells a story. With Python''s Altair library and generative AI tools like Copilot and ChatGPT, it''s never been easier to create intuitive data presentations.In Data Storytelling with Generative AI you''ll discover: Using Python Altair for data visualization Using Generative AI tools for data storytelling The main concepts of data storytelling Building data stories with the DIKW pyramid approach Transforming raw data into a data story Data Storytelling with Generative AI teaches you how to turn raw data into effective, insightful data stories. You''ll learn exactly what goes into an effective data story, then combine your Python data skills with the Altair library and AI tools to rapidly create amazing visualizations. Your bosses and decision-makers will love your new presentations—and you''ll love how quick Generative AI makes the whole process!
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Visual Data Storytelling with Tableau - Lindy Ryan
This is the first end-to-end, full-color guide to telling powerful, actionable data stories using Tableau, the world’s #1 visualization software. Renowned expert Lindy Ryan shows you how to communicate the full business implications of your data analyses by combining Tableau’s remarkable capabilities with a deep understanding of storytelling and design. Each chapter illuminates key aspects of design practice and data visualization, and guides you step-by-step through applying them in Tableau. Ryan demonstrates how “data stories†resemble and differ from traditional storytelling, and helps you use Tableau to analyze, visualize, and communicate insights that are meaningful to any stakeholder, in any medium. Information Visualization in Tableau presents exercises that give you hands-on practice with the most up-to-date capabilities available through Tableau 10 and the full Tableau software ecosystem. Ryan’s classroom-tested exercises won’t just help you master the software: they’ll show you to craft data stories that inspire action. Coverage includes: The visual data storytelling paradigm: moving beyond static charts to powerful visualizations that combine narrative with interactive graphics How to think like a data scientist, a storyteller, and a designer -- all in the same project Data storytelling case studies: the good, the bad, and the ugly Shaping data stories: blending ... Unknown localization key: "more"
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Effective Data Storytelling - Brent Dykes
Master the art and science of data storytelling—with frameworks and techniques to help you craft compelling stories with data. The ability to effectively communicate with data is no longer a luxury in today’s economy; it is a necessity. Transforming data into visual communication is only one part of the picture. It is equally important to engage your audience with a narrative—to tell a story with the numbers. Effective Data Storytelling will teach you the essential skills necessary to communicate your insights through persuasive and memorable data stories. Narratives are more powerful than raw statistics, more enduring than pretty charts. When done correctly, data stories can influence decisions and drive change. Most other books focus only on data visualization while neglecting the powerful narrative and psychological aspects of telling stories with data. Author Brent Dykes shows you how to take the three central elements of data storytelling—data, narrative, and visuals—and combine them for maximum effectiveness. Taking a comprehensive look at all the elements of data storytelling, this unique book will enable you to: Transform your insights and data visualizations into appealing, impactful data storiesLearn the fundamental elements of a data story and key audience driversUnderstand the differences between how the brain ... Unknown localization key: "more"
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I'll Take You To Mrs Cole! - Gray Nigel
Whenever he is naughty, a young boy's mother threatens him with Mrs Cole, who appears to be a disreputable character living nearby in total chaos. One day he runs away from home and finds himself outside Mrs Cole's house. She invites him in and he discovers that Mrs Cole's noisy, kindly house is welcoming and warm and far from being frightening.
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Data Science for Business With R - Jeffrey Morgan Stanton, Jeffrey S. Saltz
Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business’s customer survey dataset to illustrate how to turn data in business decisions, in addition to numerous examples throughout. To aid in usability beyond the classroom, the text features full integration of freely-available R and RStudio software, one of the most popular data science tools available. Designed for students with little to no experience in related areas like computer science, the book chapters follow a logical order from introduction and installation of R and RStudio, working with data architecture, undertaking data collection, performing data analysis, and transitioning to data archiving and presentation. Each chapter follows a familiar structure, starting with learning objectives and background, following the basic steps of functions alongside simple examples, applying these functions to the case study, and ending with chapter challenge questions, sources, and a list of R functions so students know what to expect in each step of their data science course. Data Science for Business with ... Unknown localization key: "more"
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Thinking Clearly with Data - Anthony Fowler, Ethan Bueno de Mesquita
An engaging introduction to data science that emphasizes critical thinking over statistical techniquesAn introduction to data science or statistics shouldn’t involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative textbooks emphasize. In contrast, Thinking Clearly with Data focuses, first and foremost, on critical thinking and conceptual understanding in order to teach students how to be better consumers and analysts of the kinds of quantitative information and arguments that they will encounter throughout their lives. Among much else, the book teaches how to assess whether an observed relationship in data reflects a genuine relationship in the world and, if so, whether it is causal; how to make the most informative comparisons for answering questions; what questions to ask others who are making arguments using quantitative evidence; which statistics are particularly informative or misleading; how quantitative evidence should and shouldn’t influence decision-making; and how to make better decisions by using moral values as well as data. Filled with real-world examples, the book shows how its thinking tools apply to problems in a wide variety of subjects, including elections, civil conflict, crime, terrorism, financial crises, health care, sports, music, and space travel. Above all ... Unknown localization key: "more"
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Known and Strange Things - Cole Teju
Shortlisted for the PEN/Jean Stein Book Award and the PEN/Diamonstein-Spielvogel Award for the Art of the EssayA blazingly intelligent first collection of essays from the award-winning author of Open City and Every Day Is for the Thief.With these pieces on politics, photography, travel, history and literature, Teju Cole solidifies his place as one of today’s most powerful and original voices, covering subjects as diverse as Virginia Woolf, W.G Sebald, Instagram, Barack Obama and Boko Haram. Persuasive and provocative, erudite yet accessible, Known and Strange Things is an opportunity to live within Teju Cole’s wide-ranging enthusiasms, curiosities and passions, and a chance to see the world in surprising and affecting new frames.
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Geographic Data Science with Python - Dani Arribas-Bel, Sergio Rey, Levi John Wolf
This book provides the tools, the methods, and the theory to meet the challenges of contemporary data science applied to geographic problems and data. In the new world of pervasive, large, frequent, and rapid data, there are new opportunities to understand and analyze the role of geography in everyday life. Geographic Data Science with Python introduces a new way of thinking about analysis, by using geographical and computational reasoning, it shows the reader how to unlock new insights hidden within data.Key Features:â— Showcases the excellent data science environment in Python.â— Provides examples for readers to replicate, adapt, extend, and improve.â— Covers the crucial knowledge needed by geographic data scientists.It presents concepts in a far more geographic way than competing textbooks, covering spatial data, mapping, and spatial statistics whilst covering concepts, such as clusters and outliers, as geographic concepts.Intended for data scientists, GIScientists, and geographers, the material provided in this book is of interest due to the manner in which it presents geospatial data, methods, tools, and practices in this new field.
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Being with Data - Nathaniel Tkacz
Once the rarified stuff of scientists and statisticians, data are now at the heart of our global digital economy, transforming everything from how we perceive the value of a professional athlete to the intelligence gathering activities of governments. We are told that the right data can turn an election, help predict crime, improve our businesses, our health and our capacity to make decisions. Beginning with a simple question - how do most people encounter and experience data? - Nathaniel Tkacz sets out on a path at odds with much of the contemporary discussion about data. When we encounter data, he contends, it is often in highly routinised ways, through formatted displays and for specific cognitive tasks. What data are and can do is largely a matter of how they are formatted. To understand our 'datafied' societies, we need to turn our attention to data's formats and the powers of formatting. This book offers an account of one such format: the dashboard. From their first appearance with the horse and carriage, Tkacz guides readers on the historical development of this format. Through analyses of car dashboards, early managerial dashboards, and the gradual emergence of dashboards as a computer display technology, Tkacz ... Unknown localization key: "more"
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Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value - Eric Anderson, Florian Zettelmeyer
Lead your organization to become evidence-drivenData. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries.The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what’s often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories.Inside, you’ll find the essential tools to help you:Develop a strong data science intuition quotientLead and scale AI and analytics throughout your organizationMove from “best-guess†decision making to evidence-based decisionsCraft strategies and tactics to create real impactWritten for anyone in a leadership or management ... Unknown localization key: "more"
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Building a Scalable Data Warehouse with Data Vault 2.0 - Daniel Linstedt, Michael Olschimke
The Data Vault was invented by Dan Linstedt at the U.S. Department of Defense, and the standard has been successfully applied to data warehousing projects at organizations of different sizes, from small to large-size corporations. Due to its simplified design, which is adapted from nature, the Data Vault 2.0 standard helps prevent typical data warehousing failures. "Building a Scalable Data Warehouse" covers everything one needs to know to create a scalable data warehouse end to end, including a presentation of the Data Vault modeling technique, which provides the foundations to create a technical data warehouse layer. The book discusses how to build the data warehouse incrementally using the agile Data Vault 2.0 methodology. In addition, readers will learn how to create the input layer (the stage layer) and the presentation layer (data mart) of the Data Vault 2.0 architecture including implementation best practices. Drawing upon years of practical experience and using numerous examples and an easy to understand framework, Dan Linstedt and Michael Olschimke discuss: How to load each layer using SQL Server Integration Services (SSIS), including automation of the Data Vault loading processes. Important data warehouse technologies and practices. Data Quality Services (DQS) and Master Data Services (MDS) in ... Unknown localization key: "more"
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The Financial Times Guide to Data-Driven Transformation: How to drive substantial business value with data analytics - Andrea De Mauro, Michele Pacifi
This is the book that helps managers maximise the business value brought by data to their organisation. Are you eager to unlock the power of data in your organization? In the Financial Times Guide to Data Driven Transformation, Andrea De Mauro and Michele Pacifico provide a comprehensive roadmap for leaders aiming to harness the full potential of data analytics. This guide is designed for top executives, data leaders, and practitioners who are seeking to drive substantial business value and navigate the complex landscape of digital transformation. The book covers key strategies for building data-driven cultures, developing analytics roadmaps, and leveraging artificial intelligence to support decision-making. Through practical insights and real-world examples, the authors show how businesses can unlock value from their data assets, streamline operations, and gain a competitive advantage. Whether you''re at the early stages of your data journey or looking to enhance existing capabilities, this guide offers the tools you need to succeed. Drawing from the extensive experience of both authors, this book is more than a theoretical guide; it''s a hands-on, actionable resource tailored for professionals who want to make data an integral part of their company’s strategy and operational excellence.
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Become a Great Data Storyteller - Angelica Lo Duca
Unlock the power of data storytelling to create change Become a Great Data Storyteller: Learn How You Can Drive Change with Data is a transformational journey guided by author and researcher Angelica Lo Duca. This insightful guide challenges the conventional approach to data visualization by emphasizing the creation of compelling data stories. With a focus on understanding the audience's needs, this book offers a unique value proposition: teaching you how to weave raw data into engaging, narrative-driven presentations that can significantly impact decision-making and generate organizational change. The author masterfully demonstrates the process of building a data story, from creating relatable characters with clear objectives to tailoring these narratives for specific audiences. You'll discover your role as a narrative guide, learning how to employ the power of context to make your data-driven stories not just informative but captivating. This book sets itself apart by focusing on the human aspect of data storytelling, ensuring your narratives resonate deeply with your audience. In the book, you'll: Learn to craft engaging data narratives that go beyond charts and graphs, making your presentations memorable and impactfulTailor your data stories to meet the specific needs and interests of your audience, enhancing understanding and engagementPosition yourself ... Unknown localization key: "more"
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SQL for Data Scientists - Renee M. P. Teate
Jump-start your career as a data scientist—learn to develop datasets for exploration, analysis, and machine learning SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that’s dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most. Aspiring data scientists will learn how to how to construct datasets for exploration, analysis, and machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls. You may be one of many people who are entering the field of Data Science from a range of professions and educational backgrounds, such as business analytics, social science, physics, economics, and computer science. Like many of them, you may have conducted analyses using spreadsheets as data sources, but never retrieved and engineered datasets from a relational database using SQL, which is a programming language designed for managing databases and extracting data. This guide for data scientists differs from other instructional guides on the subject. It doesn’t cover SQL broadly. Instead, you’ll learn the subset of SQL skills that data analysts and data scientists use frequently. You’ll also gain practical advice and direction on ... Unknown localization key: "more"
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Mastering Marketing Data Science - Iain Brown
Unlock the Power of Data: Transform Your Marketing Strategies with Data Science In the digital age, understanding the symbiosis between marketing and data science is not just an advantage; it's a necessity. In Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers, Dr. Iain Brown, a leading expert in data science and marketing analytics, offers a comprehensive journey through the cutting-edge methodologies and applications that are defining the future of marketing. This book bridges the gap between theoretical data science concepts and their practical applications in marketing, providing readers with the tools and insights needed to elevate their strategies in a data-driven world. Whether you're a master's student, a marketing professional, or a data scientist keen on applying your skills in a marketing context, this guide will empower you with a deep understanding of marketing data science principles and the competence to apply these principles effectively. Comprehensive Coverage: From data collection to predictive analytics, NLP, and beyond, explore every facet of marketing data science. Practical Applications: Engage with real-world examples, hands-on exercises in both Python & SAS, and actionable insights to apply in your marketing campaigns. Expert Guidance: Benefit from Dr. Iain Brown's decade of experience as he shares ... Unknown localization key: "more"
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Data Mesh in Action - Marian Siwiak, Jacek Majchrzak, Sven Balnojan
About The BookRevolutionize the way your organization approaches data with a data mesh! This new decentralized architecture outpaces monolithic lakes and warehouses and can work for a company of any size.Data Mesh in Action reveals how this groundbreaking architecture looks for both small startups and large enterprises. You''ll see a data mesh in action as you explore both an extended case study and multiple real-world examples. As you go, you''ll be expertly guided through discussions around Socio-Technical Architecture and Domain-Driven Design with the goal of building a sleek data-as-a-product system.About the technologyA data mesh decentralizes data ownership and keeps it close to decision makers and domain experts. The results are clear: better description and structuring, easier scaling, and removing the bottlenecks of centralized monolithic data architecture. Best of all, you won''t need any new technology—his book shows you how to immediately start implementing a data mesh with flexible processes and organizational change.- Move from your current data architecture to a data mesh- Identify data domains, and decompose an organization into smaller, manageable domains - Set up the central governance and local governance levels over data - Balance responsibilities between the two levels of governance - Establish a platform that allows ... Unknown localization key: "more"
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Azure Data Engineer Associate Certification Guide - Newton Alex
Become well-versed with data engineering concepts and exam objectives to achieve Azure Data Engineer Associate certificationKey FeaturesUnderstand and apply data engineering concepts to real-world problems and prepare for the DP-203 certification examExplore the various Azure services for building end-to-end data solutionsGain a solid understanding of building secure and sustainable data solutions using Azure servicesBook DescriptionAzure is one of the leading cloud providers in the world, providing numerous services for data hosting and data processing. Most of the companies today are either cloud-native or are migrating to the cloud much faster than ever. This has led to an explosion of data engineering jobs, with aspiring and experienced data engineers trying to outshine each other. Gaining the DP-203: Azure Data Engineer Associate certification is a sure-fire way of showing future employers that you have what it takes to become an Azure Data Engineer. This book will help you prepare for the DP-203 examination in a structured way, covering all the topics specified in the syllabus with detailed explanations and exam tips. The book starts by covering the fundamentals of Azure, and then takes the example of a hypothetical company and walks you through the various stages of building data engineering solutions. Throughout ... Unknown localization key: "more"
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Data and Analytics for Instructional Designers - Megan Torrance
Add Data and Analytics to Your TD ToolkitInstructional design pro Megan Torrance addresses the importance of instructional designers accessing and applying learning and performance data—from how to design learning experiences with data collection in mind to how to use the data to improve and evaluate those experiences. With the advance of new learning technologies and data specifications, instructional designers have access to more and richer data sources than ever before. With that comes the question of what to do with the data. While most data and analytics books focus on their application for measurement and evaluation and assume a prior baseline understanding of what learning data and analytics mean, Data and Analytics for Instructional Designers delves into the foundational concepts that will enable instructional designers and L&D professionals to use data in their roles. Split into two parts, the book first defines key data and analytics terms, data specifications, learning metrics, and statistical concepts. It then lays out a framework for using learning data for planning how to gather data and to building scale and maturity in your data operations. Megan reassures readers that basic math skills with some computer assistance is what you’ll need to get going. So set ... Unknown localization key: "more"
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Data Governance For Dummies - Jonathan Reichental
How to build and maintain strong data organizations—the Dummies way Data Governance For Dummies offers an accessible first step for decision makers into understanding how data governance works and how to apply it to an organization in a way that improves results and doesn't disrupt. Prep your organization to handle the data explosion (if you know, you know) and learn how to manage this valuable asset. Take full control of your organization’s data with all the info and how-tos you need. This book walks you through making accurate data readily available and maintaining it in a secure environment. It serves as your step-by-step guide to extracting every ounce of value from your data. Identify the impact and value of data in your businessDesign governance programs that fit your organizationDiscover and adopt tools that measure performance and needAddress data needs and build a more data-centric business cultureThis is the perfect handbook for professionals in the world of data analysis and business intelligence, plus the people who interact with data on a daily basis. And, as always, Dummies explains things in terms anyone can understand, making it easy to learn everything you need to know.
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What Does Your School Data Team Sound Like? - Dean T. Spaulding, Gail M. Smith
Get your data team working effectively! Data is a valuable resource for improving education. Unfortunately, many school teams struggle to make sense of new and often overwhelming data. What Does Your Data Team Sound Like? provides an approach that supports teams as they review a range of data sets, and improves their conversation about effectively applying data to instructional decision-making. Written to help teams navigate the world of data analysis for on-going school improvement, this book offers an easy to follow framework that dives deep into data-driven instruction. Readers will find: Easy, step-by-step analysis techniques  Case studies that demonstrate different approaches Checklists and flowcharts to help visual the process Developed by expert authors who have worked with data teams across a wide variety of settings and scenarios, this book will help educators take action to create better learning environments for students.Â
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Public Data Cultures - Jonathan W. Y. Gray
Public data shapes what we know and how we live together. It is often digital, freely available and related to matters of shared concern, from global warming graphs to collaborative spreadsheets documenting mass layoffs. Public Data Cultures explores the practices and cultures of how data is made public in the age of the Internet. Looking beyond familiar narratives of data as a resource to be liberated or protected, this book offers new perspectives on public data as networked cultural material, as medium of participation and as site of transnational politics. To better account for how data makes a difference, the book argues for a more expansive conception of what is involved in making data public. It focuses not just on removing restrictions but also on caring for arrangements involved in making data public in ways that grow shared understanding and solidarity in responding to the many intersecting troubles of our times. Nurturing critical and creative engagements with data, this book is essential reading for students and scholars of media, science and technology studies and digital humanities, as well as artists, designers, journalists and activists working with data.
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Python for Data Science For Dummies - John Paul Mueller, Luca Massaron
Let Python do the heavy lifting for you as you analyze large datasets Python for Data Science For Dummies lets you get your hands dirty with data using one of the top programming languages. This beginner’s guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond. Coding your data analysis tasks will make your life easier, make you more in-demand as an employee, and open the door to valuable knowledge and insights. This new edition is updated for the latest version of Python and includes current, relevant data examples. Get a firm background in the basics of Python coding for data analysisLearn about data science careers you can pursue with Python coding skillsIntegrate data analysis with multimedia and graphics Manage and organize data with cloud-based relational databasesPython careers are on the rise. Grab this user-friendly Dummies guide and gain the programming skills you need to become a data pro.
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Data Management - Bas van Gils
The overall objective of this book is to show that data management is an exciting and valuable capability that is worth time and effort. More specifically it aims to achieve the following goals: 1.To give a “gentle” introduction to the field of DM by explaining and illustrating its core concepts, based on a mix of theory, practical frameworks such as TOGAF, ArchiMate, and DMBOK, as well as results from real-world assignments.2.To offer guidance on how to build an effective DM capability in an organization.This is illustrated by various use cases, linked to the previously mentioned theoretical exploration as well as the stories of practitioners in the field.The primary target groups are: busy professionals who “are actively involved with managing data”. The book is also aimed at (Bachelor’s/ Master’s) students with an interest in data management. The book is industry-agnostic and should be applicable in different industries such as government, finance, telecommunications etc.Typical roles for which this book is intended: data governance office/ council, data owners, data stewards, people involved with data governance (data governance board), enterprise architects, data architects, process managers, business analysts and IT analysts.The book is divided into three main parts: theory, practice, and closing remarks. Furthermore, the ... Unknown localization key: "more"
Objev podobné jako Data Management - Bas van Gils
Data-First Marketing - Janet Driscoll Miller, Julia Lim
Supercharge your marketing strategy with data analytics In Data-First Marketing: How to Compete & Win in the Age of Analytics, distinguished authors Miller and Lim demystify the application of data analytics to marketing in any size business. Digital transformation has created a widening gap between what the CEO and business expect marketing to do and what the CMO and the marketing organization actually deliver. The key to unlocking the true value of marketing is data – from actual buyer behavior to targeting info on social media platforms to marketing’s own campaign metrics. Data is the next big battlefield for not just marketers, but also for the business because the judicious application of data analytics will create competitive advantage in the Age of Analytics. Miller and Lim show marketers where to start by leveraging their decades of experience to lay out a step-by-step process to help businesses transform into data-first marketing organizations. The book includes a self-assessment which will help to place your organization on the Data-First Marketing Maturity Model and serve as a guide for which steps you might need to focus on to complete your own transformation. Data-First Marketing: How to Compete & Win in the Age of Analytics ... Unknown localization key: "more"
Objev podobné jako Data-First Marketing - Janet Driscoll Miller, Julia Lim
Byl jednou jeden člověk - Leonardo da Vinci
Naučný komiks představuje život a dílo Leonarda da Vinciho, renesančního génia. Forma komiksu propojená s animovaným seriálem zpřístupňuje téma dětem od 8 let. Kniha má 48 stran v českém jazyce a rozměry 21 x 29 cm.
- Naučný obsah podaný zábavnou komiksovou formou
- Propojení s populárním animovaným seriálem České televize
- Vhodné pro děti od 8 let s českým jazykem
- Kvalitní rozměry 21x29 cm pro pohodlné čtení
Objev podobné jako Byl jednou jeden člověk - Leonardo da Vinci
How to Think Like Leonardo da Vinci - Michael J. Gelb
This inspiring and inventive guide teaches readers how to develop their full potential by following the example of the greatest genius of all time, Leonardo da Vinci.Acclaimed author Michael J. Gelb, who has helped thousands of people expand their minds to accomplish more than they ever thought possible, shows you how. Drawing on Da Vinci''s notebooks, inventions, and legendary works of art, Gelb introduces Seven Da Vincian Principles—the essential elements of genius—from curiosità, the insatiably curious approach to life to connessione, the appreciation for the interconnectedness of all things. With Da Vinci as your inspiration, you will discover an exhilarating new way of thinking. And step-by-step, through exercises and provocative lessons, you will harness the power—and awesome wonder—of your own genius, mastering such life-changing abilities as:•Problem solving•Creative thinking•Self-expression•Enjoying the world around you •Goal setting and life balance •Harmonizing body and mindDrawing on Da Vinci''s notebooks, inventions, and legendary works of art, acclaimed author Michael J. Gelb, introduces seven Da Vincian principles, the essential elements of genius, from curiosita, the insatiably curious approach to life, to connessione, the appreciation for the interconnectedness of all things. With Da Vinci as their inspiration, readers will discover an exhilarating new way of thinking. Step-by-step, ... Unknown localization key: "more"
Objev podobné jako How to Think Like Leonardo da Vinci - Michael J. Gelb
Oxford International Skills: Data Literacy: Practice Book 2 - Karen Morrison, Lisa Greenstein
This comprehensive, nine-year course (for ages 4 to 14) follows a spiral approach where students build confidence in working with data year-on-year. Through real-world contexts and examples, students are equipped with the skills they need to solve problems and make reliable, data-informed decisions.Practice Book features:Underpinned by four key aspects of data: questioning, data collection, analysis and interpretationDedicated content on ethics, privacy and the social impact of working with dataActivities promote a joy of learning through collaboration, problem solving and reasoning with dataEngaging, cross-curricula topics from food and nutrition to the environment and sustainability Illustrated glossary of terms supports the development of data-specific vocabularyHint boxes and challenge activities, plus advice in the Teacher''s Guide, support differentiationVisualisations including tables, graphs and infographics help prepare students for the real world
Objev podobné jako Oxford International Skills: Data Literacy: Practice Book 2 - Karen Morrison, Lisa Greenstein
Oxford International Skills: Data Literacy: Practice Book 5 - Karen Morrison, Lisa Greenstein
This comprehensive, nine-year course (for ages 4 to 14) follows a spiral approach where students build confidence in working with data year-on-year. Through real-world contexts and examples, students are equipped with the skills they need to solve problems and make reliable, data-informed decisions.Practice Book features:Underpinned by four key aspects of data: questioning, data collection, analysis and interpretationDedicated content on ethics, privacy and the social impact of working with dataActivities promote a joy of learning through collaboration, problem solving and reasoning with dataEngaging, cross-curricula topics from food and nutrition to the environment and sustainability Illustrated glossary of terms supports the development of data-specific vocabularyHint boxes and challenge activities, plus advice in the Teacher''s Guide, support differentiationVisualisations including tables, graphs and infographics help prepare students for the real world
Objev podobné jako Oxford International Skills: Data Literacy: Practice Book 5 - Karen Morrison, Lisa Greenstein
Oxford International Skills: Data Literacy: Practice Book 6 - Karen Morrison, Lisa Greenstein
This comprehensive, nine-year course (for ages 4 to 14) follows a spiral approach where students build confidence in working with data year-on-year. Through real-world contexts and examples, students are equipped with the skills they need to solve problems and make reliable, data-informed decisions.Practice Book features:Underpinned by four key aspects of data: questioning, data collection, analysis and interpretationDedicated content on ethics, privacy and the social impact of working with dataActivities promote a joy of learning through collaboration, problem solving and reasoning with dataEngaging, cross-curricula topics from food and nutrition to the environment and sustainability Illustrated glossary of terms supports the development of data-specific vocabularyHint boxes and challenge activities, plus advice in the Teacher''s Guide, support differentiationVisualisations including tables, graphs and infographics help prepare students for the real world
Objev podobné jako Oxford International Skills: Data Literacy: Practice Book 6 - Karen Morrison, Lisa Greenstein
Stats: Data and Models, Global Edition - David Bock, Richard De Veaux, Paul Velleman
For courses inIntroductory Statistics. Encourages statistical thinking using technology, innovative methods, and a sense of humour Inspired by the 2016GAISE Report revision, Stats: Data and Models, 5th Edition byDe Veaux, Velleman, and Bock uses innovative strategies to help students think critically about data, while maintaining the book’s core concepts, coverage, and most importantly, readability. The authors make it easier for instructors to teach and for students to understand more complicated statistical concepts later in the course (such as the Central Limit Theorem).In addition, students get more exposure to large data sets and multivariate thinking, which better prepares them to be critical consumers of statistics in the 21st century. The 5th Edition’s approach to teaching Stats: Data and Models is revolutionary, yet it retains the book''s lively tone and hallmark pedagogical features such as its Think/Show/Tell Step-by-Step Examples. Also available with MyLab Statistics MyLabTMStatistics is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab Statistics personalizes the learning experience and improves results for each student. With MyLab Statistics and Stat Crunch, an integrated web-based statistical software program, students learn the skills they need to interact ... Unknown localization key: "more"
Objev podobné jako Stats: Data and Models, Global Edition - David Bock, Richard De Veaux, Paul Velleman
Oxford International Skills: Data Literacy: Practice Book 3 - Karen Morrison, Lisa Greenstein
This comprehensive, nine-year course (for ages 4 to 14) follows a spiral approach where students build confidence in working with data year-on-year. Through real-world contexts and examples, students are equipped with the skills they need to solve problems and make reliable, data-informed decisions.Practice Book features:Underpinned by four key aspects of data: questioning, data collection, analysis and interpretationDedicated content on ethics, privacy and the social impact of working with dataActivities promote a joy of learning through collaboration, problem solving and reasoning with dataEngaging, cross-curricula topics from food and nutrition to the environment and sustainability Illustrated glossary of terms supports the development of data-specific vocabularyHint boxes and challenge activities, plus advice in the Teacher''s Guide, support differentiationVisualisations including tables, graphs and infographics help prepare students for the real world
Objev podobné jako Oxford International Skills: Data Literacy: Practice Book 3 - Karen Morrison, Lisa Greenstein
GMAT Official Guide Data Insights Review 2025-2026 - GMAC
GMAT Official Guide Data Insights Review 2025-2026: Includes Book + Online Question Bank + Digital Flashcards + Mobile App The GMAT Official Guide Data Insights Review provides focused practice to master the data insights section of the exam with over 275 practice questions that are not included in the main Official Guide 2024-2025. Designed by the makers of the GMAT exam, the GMAT Official Guide series is the only study guide that features real exam questions. Use this guide to: Master the data insights section of the examFamiliarize yourself with data analysis concepts through the updated review chapterGrow your confidence with the data insights questionsReview detailed explanations to understand correct and incorrect answersPractice with two-part analysis questionsGet exclusive exam preparation tips from the creators of the GMAT and Test Prep Organizations  BONUS with your purchase! Focus your studying with the Online Question Bank. Tailor your practice by building practice sets targeting question type and difficultyDiscover your strengths and weaknesses with diagnostic quizzesTrack your focus areas and progress with key metricsReinforce concepts with engaging gamesChallenge yourself with timed practiceUse digital flashcards to master key concepts, also accessible on the mobile app The Online Question Bank is accessible through your mba.com ... Unknown localization key: "more"
Objev podobné jako GMAT Official Guide Data Insights Review 2025-2026 - GMAC
Oxford International Skills: Data Literacy: Practice Book 4 - Karen Morrison, Lisa Greenstein
This comprehensive, nine-year course (for ages 4 to 14) follows a spiral approach where students build confidence in working with data year-on-year. Through real-world contexts and examples, students are equipped with the skills they need to solve problems and make reliable, data-informed decisions.Practice Book features:Underpinned by four key aspects of data: questioning, data collection, analysis and interpretationDedicated content on ethics, privacy and the social impact of working with dataActivities promote a joy of learning through collaboration, problem solving and reasoning with dataEngaging, cross-curricula topics from food and nutrition to the environment and sustainability Illustrated glossary of terms supports the development of data-specific vocabularyHint boxes and challenge activities, plus advice in the Teacher''s Guide, support differentiationVisualisations including tables, graphs and infographics help prepare students for the real world
Objev podobné jako Oxford International Skills: Data Literacy: Practice Book 4 - Karen Morrison, Lisa Greenstein
Python for Data Analysis 3e - Wes McKinney
Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.Use the Jupyter notebook and IPython shell for exploratory computingLearn basic and advanced features in NumPyGet started with data analysis tools in the pandas libraryUse flexible tools to load, clean, transform, merge, and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, detailed examples
Objev podobné jako Python for Data Analysis 3e - Wes McKinney
Beatriz da Costa - Daniela Lieja Quintanar
A long overdue look at the artistic investigations of the late artist Beatriz da Costa, revealing the depth and prescience of her work.Beatriz da Costa: (un)disciplinary tactics is the most comprehensive documentation and analysis to date of late artist Beatriz da Costa’s (1974–2012) groundbreaking work. As a retrospective of a brilliant young artist, it renders a social portrait of her artistic practice by both contextualizing the work in its historical period (late 1990s to early 2010s) and extending the work’s socio-political concerns to the present. The book, edited by Daniela Lieja Quintanar, features a collection of essays by curators, artists, and researchers from a variety of fields, including technoscience, tactical media, cancer research, environmental justice, performance art, and participatory art. It also includes a group of reflections written by former collaborators and close friends.Beginning with da Costa’s early projects in the late 1990s as a student in the arts and robotics at Carnegie Mellon University, the book surveys her collaborative work withcollectives Critical Art Ensemble and Preemptive Media, as well as her research-basedand large-scale installations made in the early 2000s. The publication is a faithfulrecord of da Costa’s entire oeuvre, including information about artworks sheleft incomplete due to financial, health, ... Unknown localization key: "more"
Objev podobné jako Beatriz da Costa - Daniela Lieja Quintanar
Data Warehousing For Dummies - Thomas C. Hammergren
Data warehousing is one of the hottest business topics, and there's more to understanding data warehousing technologies than you might think. Find out the basics of data warehousing and how it facilitates data mining and business intelligence with Data Warehousing For Dummies, 2nd Edition.
Objev podobné jako Data Warehousing For Dummies - Thomas C. Hammergren
Dive Into Data Science - Bradford Tuckfield
This beginner''s book will teach you how to apply the principles of data science to improve your business strategies - no math proficiency required! Easy-to-follow chapters take the reader through concepts like A/B testing, supervised and unsupervised machine learning, web scraping, and more. Each concept is illustrated using real-world business applications, real-world data, and useful Python code examples. The tone is conversational, and the author avoids the dense mathematical theories associated with data science in favour of simple explanations and practical applications. By the end of the book, readers should be comfortable working with data, applying data to business problems, and using best practices to analyse data using Python.
Objev podobné jako Dive Into Data Science - Bradford Tuckfield
Data Science Essentials For Dummies - Lillian Pierson
Feel confident navigating the fundamentals of data science Data Science Essentials For Dummies is a quick reference on the core concepts of the exploding and in-demand data science field, which involves data collection and working on dataset cleaning, processing, and visualization. This direct and accessible resource helps you brush up on key topics and is right to the point—eliminating review material, wordy explanations, and fluff—so you get what you need, fast. Strengthen your understanding of data science basicsReview what you've already learned or pick up key skillsEffectively work with data and provide accessible materials to othersJog your memory on the essentials as you work and get clear answers to your questions Perfect for supplementing classroom learning, reviewing for a certification, or staying knowledgeable on the job, Data Science Essentials For Dummies is a reliable reference that's great to keep on hand as an everyday desk reference.
Objev podobné jako Data Science Essentials For Dummies - Lillian Pierson
Efko Pytlíczech Dáma - logická hra do kapsy
Dáma je logická hra uložená v bavlněném pytlíku, vhodná pro cestování. Sada obsahuje 24 dřevěných kamenů, skládací herní plán a návod. Hra je určena pro 2 hráče od 10 let s dobou hraní přibližně 15 minut.
- Praktický bavlněný pytlík pro snadné přenášení
- Dřevěné hrací kameny a skládací herní plán
- Originální design od české designérky Táni Sekerkové
- Vyrobeno v České republice
Objev podobné jako Efko Pytlíczech Dáma - logická hra do kapsy
Azure Data Fundamentals - Michael Pena
Learn the essential skills and concepts for working with data in the cloud using Microsoft Azure. With this practical guide, professionals new to data management and Azure will learn how to leverage Azure services such as Azure Cosmos DB, Azure Storage, Azure SQL, and Microsoft Fabric to create, store, process, analyze, and visualize data.
Objev podobné jako Azure Data Fundamentals - Michael Pena
Use Your Questionnaire Data - Helen Kara
Working with data from a questionnaire may seem easy to students since the data is limited to set questions and responses, but it is not. Even if students have designed an effective questionnaire and/or used all closed questions, they still have to collate a lot of data, develop a system that evaluates responses, and compare/group responses to determine overall results. This Little Quick Fix makes this type of data more accessible and teaches students how to manage, code, and interpret it effectively. Little Quick Fix titles provide quick but authoritative answers to the problems, hurdles, and assessment points students face in the research course, project proposal, or design—whatever their methods learning is.Lively, ultra-modern design; full-colour, each page a tailored design.An hour′s read. Easy to dip in and out of with clear navigation enables the reader to find what she needs—quick.Direct written style gets to the point with clear language. Nothing needs to be read twice. No fluff.Learning is reinforced through a 2-minute overview summary; 3-second summaries with super-quick Q&ADIY tasks create a work plan to accomplish a task, do a self-check quiz, solve a problem, get students to what they need to show their supervisor.Checkpoints in each section make sure ... Unknown localization key: "more"
Objev podobné jako Use Your Questionnaire Data - Helen Kara
Avoiding Data Pitfalls - Ben Jones
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.
Objev podobné jako Avoiding Data Pitfalls - Ben Jones
Practical Python Data Wrangling and Data Quality - Susan E. McGregor
Whether you already work with data or want to learn more about its possibilities, the examples and techniques in this practical book will help you more easily clean, evaluate, and analyze data so that you can generate meaningful insights and compelling visualizations.
Objev podobné jako Practical Python Data Wrangling and Data Quality - Susan E. McGregor
Rabalux 74073 stolní lampa Dayami, šedá
Šedá stolní keramická lampa Dayami s textilním stínidlem a originálně tvarovanou základnou. Vhodná pro žárovku s paticí E14 s maximálním příkonem 40 W. Ideální pro umístění na noční stolek, komodu nebo do obývacího pokoje.
- Originální keramická základna s moderním vzorem
- Šedé textilní stínidlo pro decentní vzhled a rozptýlené světlo
- Elegantní design vhodný do různých interiérů
- Možnost použití úsporné LED žárovky s paticí E14
Objev podobné jako Rabalux 74073 stolní lampa Dayami, šedá
Dámy se psy u auta, 40×50 cm, bez rámu a bez vypnutí plátna (6043120)
Sada pro malování podle čísel s motivem dam se psy u auta o rozměrech 40×50 cm. Balení obsahuje lněné plátno, sadu štětců, 34 akrylových barev a vymalovanou předlohu. Velké očíslované plochy usnadňují práci i začátečníkům.
- Kompletní sada obsahující plátno, štětce, barvy a předlohu
- Velké očíslované plochy vhodné pro začátečníky
- 34 akrylových barev pro detailní výsledek
- Kvalitní lněné plátno s tématem dopravních prostředků
Objev podobné jako Dámy se psy u auta, 40×50 cm, bez rámu a bez vypnutí plátna (6043120)