da baddest trina

The award-winning, platinum-selling rapper, songwriter, and television personality shares her “open and revealing account” (Neil Martinez-Belkin, New York Times bestselling author) of coming of age in Miami, her unstoppable ascent to music stardom, and her lasting impact as a legendary figure in the hip-hop industryGrowing up in the Liberty City area of Miami, Florida, Katrina “Trina” Taylor spent her childhood feeling relatively sheltered by her mother and stepfather. Trina and her mother had an unbreakable bond and Liberty City felt like a playground made just for her. Even at a young age, Trina knew what she wanted: to be a powerful, successful, and magnetic woman, a woman who was entirely self-reliant and independent. She dreamed of becoming a dancer, sexy and sparkling in the background of rap music videos she saw being filmed around Liberty City. Little did she know, she’d eventually be the star of the videos, and a founding Queen of rap. In Da Baddest, Trina’s voice is powerful, insightful, witty, and provocative, while also showcasing her vulnerability and deep love for her family, home, and music. This evocative look into Trina’s life as a music industry icon proves why she is the blueprint for future women in hip-hop and how she helped shape rap music history. Her story highlights the profound cultural impact of hip-hop and why no one but her can hold the title of “The Baddest B*tch.”

Objev podobné jako Da Baddest - Trina

Uchovávejte potraviny dlouhodobě zmrazené pomocí mrazáku Klarstein Iceblokk 99. Ať už se jedná o malou nebo velkou rodinu: prostorný mrazák poskytuje perfektní možnost rozšířit jídelníček o pizzu, lazaně, kuřecí křidélka nebo zmrzliny. Vše zde najde své místo pro pozdější spotřebu. Samozřejmě lze v zařízení Iceblokk 99 uskladnit i připravená hotová jídla nebo ryby, maso a zeleninu pro pozdější přípravu. Ideální pro všechny, kteří si chtějí udělat výhodné zásoby nebo rádi vaří, ale nemají čas ve stresujících všedních dnech.Čtyřhvězdičkový mrazák s objemem 99 litrů nabízí dostatek prostoru pro menší i větší zmrazené potraviny. Konstrukce truhly umožňuje nekomplikované skladování bez omezených úložných prostor a také snadné vyjmutí z horní části. Odnímatelný závěsný košík slouží k umístění drobných předmětů, které by měly být rychle po ruce - například nanuky, příští oběd nebo mražené bylinky. Mrazicí výkon lze nastavit v rozmezí od -15 do -26 °C pomocí plynule nastavitelného otočného knoflíku na přední straně spotřebiče. Mrazák Klarstein Iceblokk 99 má spotřebu energie pouze 75 W, což mu dává energetickou třídu E. Během 24 hodin lze zmrazit až 10 kg potravin.Pravidelnému odmrazování napomáhá vypouštěcí ventil ve spodní části. Šedá konstrukce dodává nábytku jednoduchou eleganci, s níž se hladce začlení do prostředí kuchyně.

Objev podobné jako Klarstein Iceblokk 99, mrazák, 98 l, 75 W, energetická třída E, černý

Uchovávejte potraviny dlouhodobě zmrazené pomocí mrazáku Klarstein Iceblokk 99. Ať už se jedná o malou nebo velkou rodinu: prostorný mrazák poskytuje perfektní možnost rozšířit jídelníček o pizzu, lazaně, kuřecí křidélka nebo zmrzliny. Vše zde najde své místo pro pozdější spotřebu. Samozřejmě lze v zařízení Iceblokk 99 uskladnit i připravená hotová jídla nebo ryby, maso a zeleninu pro pozdější přípravu. Ideální pro všechny, kteří si chtějí udělat výhodné zásoby nebo rádi vaří, ale nemají čas ve stresujících všedních dnech.Čtyřhvězdičkový mrazák s objemem 99 litrů nabízí dostatek prostoru pro menší i větší zmrazené potraviny. Konstrukce truhly umožňuje nekomplikované skladování bez omezených úložných prostor a také snadné vyjmutí z horní části. Odnímatelný závěsný košík slouží k umístění drobných předmětů, které by měly být rychle po ruce - například nanuky, příští oběd nebo mražené bylinky. Mrazicí výkon lze nastavit v rozmezí od -15 do -26 °C pomocí plynule nastavitelného otočného knoflíku na přední straně spotřebiče. Mrazák Klarstein Iceblokk 99 má spotřebu energie pouze 75 W, což mu dává energetickou třídu E. Během 24 hodin lze zmrazit až 10 kg potravin.Pravidelnému odmrazování napomáhá vypouštěcí ventil ve spodní části. Šedá konstrukce dodává nábytku jednoduchou eleganci, s níž se hladce začlení do prostředí kuchyně.

Objev podobné jako Klarstein Iceblokk 99, mrazák, 98 l, 75 W, energetická třída E, černý

Bohemia Sekt trika dámské
bílé triko Bohemia Sekt
pánská trika bílá
designová trika
pánské triko
bohemia sekt trika
designová trika pro ženy
designové trika pro ženy

On a defining evening of the 1980s, Donald Trump hosted celebrities and high rollers in a Jersey Shore town to witness 21-year-old Mike Tyson knock out Michael Spinks in just 91 seconds, earning more than the annual payrolls of the Los Angeles Lakers and Boston Celtics combined.Only eight years earlier, Tyson, a troubled child from Brooklyn, was taken under the wing of boxing legend Cus D’Amato in upstate New York. Their story of mutual redemption captivated novelists, screenwriters, and the emerging cable TV industry. Tyson became HBO’s leading man long before Tony Soprano.Despite the immense success, Tyson''s story was more complex and darker than it appeared. Over the decades, he has been villainized, lionized, and fetishized—but never fully humanized until now. Acclaimed biographer Mark Kriegel, who first encountered Tyson as a young reporter, explores Tyson''s life through what he survived rather than whom he knocked out.Tyson, often compared to Jack Dempsey, was more akin to Sonny Liston—Black, feared, and expected to die young. What made Liston a pariah made Tyson a touchstone for a generation influenced by hip hop and gunfire. Kriegel captures not just Tyson’s rise but his profound impact on the American psyche.

Objev podobné jako Baddest Man - Mark Kriegal

Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field Big Data: Concepts, Technology, and Architecture delivers a comprehensive treatment of Big Data tools, terminology, and technology perfectly suited to a wide range of business professionals, academic researchers, and students. Beginning with a fulsome overview of what we mean when we say, “Big Data,” the book moves on to discuss every stage of the lifecycle of Big Data. You’ll learn about the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining. You’ll also discover how specific technologies like Apache Hadoop, SQOOP, and Flume work. Big Data also covers the central topic of big data visualization with Tableau, and you’ll learn how to create scatter plots, histograms, bar, line, and pie charts with that software. Accessibly organized, Big Data includes illuminating case studies throughout the material, showing you how the included concepts have been applied in real-world settings. Some of those concepts include: The common challenges facing big data technology and technologists, like data heterogeneity and incompleteness, data volume and velocity, storage limitations, and privacy concerns Relational and non-relational databases, like RDBMS, NoSQL, and NewSQL databases Virtualizing Big Data through encapsulation, partitioning, and isolating, as well as big data server virtualization Apache software, including Hadoop, Cassandra, Avro, Pig, Mahout, Oozie, and Hive The Big Data analytics lifecycle, including business case evaluation, data preparation, extraction, transformation, analysis, and visualization Perfect for data scientists, data engineers, and database managers, Big Data also belongs on the bookshelves of business intelligence analysts who are required to make decisions based on large volumes of information. Executives and managers who lead teams responsible for keeping or understanding large datasets will also benefit from this book. Â

Objev podobné jako Big Data - Amir H. Gandomi, Seifedine Kadry, Nandhini Abirami R, Balamurugan Balusamy

“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

Objev podobné jako Big Data Fundamentals - Thomas Erl, Paul Buhler, Wajid Khattak

This is no ordinary data science book. Speak Data is the first pop nonfiction book to explore the definition of data and its impacts on our daily lives. Insightful ideas and colorful data illustrations by award-winning information designer Giorgia Lupi guide you from one observation and revelation to the next."Data is almost anything, because almost anything can get recorded. But it’s kind of a magical thing—potentially one of the most powerful things humans have ever done." —James Clear, author of Atomic Habits Today we are told that data is everywhere, from the smartphones in our pockets to the satellites in space. But what is data, really? What role does it play in our lives? And why should anyone care? Through inspiring illustrations and a fresh, accessible approach, Speak Data invites us to see data differently—not just as numbers on a screen or tick marks in a chart, but as a language to help us better understand each other and the world around us. Seventeen thought-provoking conversations with leaders in business, tech, medicine, psychology, health, art, and more explore the human side of data, unpacking its powerful ability to divulge patterns, tell stories, stir emotion, and illuminate complexity. While often stereotyped as abstract or intimidating, here data is revealed as something far different: personal, nuanced, and above all, human made. Featuring: Tech pioneer John Maeda on the value of data visualization during global emergencies. Marketing legend Seth Godin on how to use data to get people to really care about climate change. Museum curator Paola Antonelli on whether data is art. Atomic Habits author James Clear on the ways data can (and can’t) describe human identity. AI data artist Refik Anadol on how big datasets can dream. And many more. In this uniquely interdisciplinary study, authors Giorgia Lupi and Phillip Cox present data as a vocabulary that anyone can use and that anyone can understand. If we learn to truly “speak data,” we can open up new worlds of meaning for ourselves and everything around us.ESTABLISHED AUTHORITY: Giorgia Lupi is an award-winning information designer whose work is part of the permanent collection of the Museum of Modern Art. She has twice been named to the Wallpaper* USA 400 list of the people shaping creative America and recently became a Fellow of the Royal Society of Art and a National Geographic explorer. A visual OpEd she published in the New York Times in 2023 was a stunning reflection on her experience of long Covid, and her TED Talk on her humanistic approach to data has more than one million views. Her belief is that data has the capacity to make us all more human—advancing our intelligence, engagement, and delight. KALEIDESCOPE OF PERSPECTIVES: Five chapters tackle human-centered topics of data and identity, communications, health, technology, and creativity, exploring what data is today and what it might mean for our collective future. The scientists, artists, writers, researchers, and activists interviewed include James Clear, Adam Grant, Andy Marra, Seth Godin, Bernadette Woods Placky, Nico Muhly, Kate Crawford, and Sougwen Chung.Perfect for: Anyone interested in data science and data visualization Graphic design students and professionals Educators and librarians seeking an instructive and accessible resource on data Readers of modern culture and popular science books Fans of Giorgia Lupi’s artwork, TED Talk, and books, including Dear Data and Observe, Collect, Draw!

Objev podobné jako Speak Data - Giorgia Lupi, Phillip Cox

Data science fundamentals, using clear, expert explanations and comic illustrations to spark interest and enthusiasm in the next generation of computer scientists!Data, Big and Small delves into the details behind computer science data and information, which help people and organisations to make decisions. Learn how and why data are created, stored and shared. Find out how we make sense of information through graphs, maps and pictures, and understand how machines learn from the data that we feed them. The end of the book fast-forwards to the future of computer science, data and robotics, and considers what it might mean to live in a ''smarter'' world.Contents: What are data? / Data, information and knowledge / Data are vital / Where do data come from? / Getting the format right / Storing all those data / The value is in the processing / Picture it! / Big data / Getting the most out of data / Keeping data secure / A trip into the future of data ... / Pioneer portraits / Further information / Glossary / Quiz yourself! / IndexThe Click, Connect, Compute series untangles the computer science web and teaches children about the essentials of computer software, hardware and digital literacy as well as discussing the ethics surrounding this evolving field. Featuring fun, friendly comic strip illustrations, pioneer bios and a quiz, this is a perfect read for children aged 8+.Books in the series: Computer Science Essentials / Data, Big and Small / Smart Machines / The Languages of ProgrammingWritten in a clear, thoughtful way by computer science expert, Dr. Dharini Balasubramaniam, a strong advocate for ethics and education in her field.

Objev podobné jako Click, Connect, Compute: Data, Big and Small - Dr Dharini Balasubramaniam

What our health data tell American capitalism about our value—and how that controls our lives. Afterlives of Data follows the curious and multiple lives that our data live once they escape our control. Mary F. E. Ebeling's ethnographic investigation shows how information about our health and the debt that we carry becomes biopolitical assets owned by healthcare providers, insurers, commercial data brokers, credit reporting companies, and platforms. By delving into the oceans of data built from everyday medical and debt traumas, Ebeling reveals how data about our lives come to affect our bodies and our life chances and to wholly define us. Investigations into secretive data collection and breaches of privacy by the likes of Cambridge Analytica have piqued concerns among many Americans about exactly what is being done with their data. From credit bureaus and consumer data brokers like Equifax and Experian to the secretive military contractor Palantir, this massive industry has little regulatory oversight for health data and works to actively obscure how it profits from our data. In this book, Ebeling traces the health data—medical information extracted from patients' bodies—that are digitized and repackaged into new data commodities that have afterlives in database lakes and oceans, algorithms, and statistical models used to score patients on their creditworthiness and riskiness. Critical and disturbing, Afterlives of Data examines how Americans' data about their health and their debt are used in the service of marketing and capitalist surveillance.

Objev podobné jako Afterlives of Data - Mary F.E. Ebeling

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 as a pivotal guide in your data stories, using context to turn data into powerful narratives that drive action For anyone looking to elevate their data presentation skills from ordinary to extraordinary, Become a Great Data Storyteller offers the tools and insights you need. Whether you're a professional seeking to influence decision-making or simply passionate about the art of data, this book is your roadmap to becoming an impactful storyteller. Take the first step towards transforming your data into compelling stories that inspire change. Order your copy today and start changing the way you communicate.

Objev podobné jako Become a Great Data Storyteller - Angelica Lo Duca

Migrate your data to Salesforce and build low-maintenance and high-performing data integrations to get the most out of Salesforce and make it a "go-to" place for all your organization''s customer information.When companies choose to roll out Salesforce, users expect it to be the place to find any and all Information related to a customer-the coveted Client 360° view. On the day you go live, users expect to see all their accounts, contacts, and historical data in the system. They also expect that data entered in other systems will be exposed in Salesforce automatically and in a timely manner. This book shows you how to migrate all your legacy data to Salesforce and then design integrations to your organization''s mission-critical systems. As the Salesforce platform grows more powerful, it also grows in complexity. Whether you are migrating data to Salesforce, or integrating with Salesforce, it is important to understand how these complexities need to be reflected in your design. Developing Data Migrations and Integrations with Salesforce covers everything you need to know to migrate your data to Salesforce the right way, and how to design low-maintenance, high-performing data integrations with Salesforce. This book is written by a practicing Salesforce integration architect with dozens of Salesforce projects under his belt. The patterns and practices covered in this book are the results of the lessons learned during those projects. What You''ll LearnKnow how Salesforce''s data engine is architected and whyUse the Salesforce Data APIs to load and extract dataPlan and execute your data migration to SalesforceDesign low-maintenance, high-performing data integrations with SalesforceUnderstand common data integration patterns and the pros and cons of eachKnow real-time integration options for SalesforceBe aware of common pitfallsBuild reusable transformation code covering commonly needed Salesforce transformation patternsWho This Book Is For Those tasked with migrating data to Salesforce or building ongoing data integrations with Salesforce, regardless of the ETL tool or middleware chosen; project sponsors or managers nervous about data tracks putting their projects at risk; aspiring Salesforce integration and/or migration specialists; Salesforce developers or architects looking to expand their skills and take on new challenges

Objev podobné jako Developing Data Migrations and Integrations with Salesforce - David Masri

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!

Objev podobné jako Data Storytelling with Generative AI - Angelica Duca

Prepare for Microsoft Exam PL-300 and help demonstrate your real-world ability to deliver actionable insights with Power BI by leveraging available data and domain expertise; to provide meaningful business value through clear data visualizations; to enable others to perform self-service analytics, and to deploy and configure solutions for consumption. Designed for data analysts, business users, and other professionals, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Power BI Data Analyst Associate level. Focus on the expertise measured by these objectives: Prepare the data Model the data Visualize and analyze the data Deploy and maintain assets This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are a data analyst, business intelligence professional, report creator, or other professional seeking to validate your skills and knowledge in analyzing data with Power BI About the Exam Exam PL-300 focuses on knowledge needed to get data from different data sources; clean, transform, and load data; design and develop data models; create model calculations with DAX; optimize model performance; create reports and dashboards; enhance reports for usability and storytelling; identify patterns and trends; and manage files, datasets, and workspaces. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Power BI Data Analyst Associate certification, demonstrating your understanding of data repositories and data processes, and your skills in designing and building scalable data models, cleaning and transforming data, enabling advanced analytic capabilities to provide meaningful business value, and collaborating with key stakeholders to deliver relevant insights based on identified business requirements. See full details at: microsoft.com/learn

Objev podobné jako Exam Ref PL-300 Power BI Data Analyst - Daniil Maslyuk

Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse-a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly.You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Each section in this edition includes exercises to help you practice what you've learned along the way.Updated for the latest tidyverse best practices, new chapters dive deeper into visualization and data wrangling, show you how to get data from spreadsheets, databases, and websites, and help you make the most of new programming tools. You'll learn how to:Visualize-create plots for data exploration and communication of resultsTransform-discover types of variables and the tools you can use to work with themImport-get data into R and in a form convenient for analysisProgram-learn R tools for solving data problems with greater clarity and easeCommunicate-integrate prose, code, and results with Quarto

Objev podobné jako R for Data Science - Grolemund Garrett, Hadley Wickham, Mine Cetinkaya-Rundel

For thirty years, “best practices” in data have delivered bigger platforms, thicker slide decks, and disappointing outcomes. The problem isn’t technology. It’s mindset. The Data Hero Playbook reveals how limiting beliefs—learned helplessness, all-or-nothing thinking, externalized blame—have kept data from becoming truly transformational. The cure is a growth mindset, put into action through practical steps any data professional can take. You’ll discover how to: Put customers at the center of every decision. Apply product management principles to data work. Quantify value in revenue, cost savings, and risk reduction. Run data as if it were a P&L. Deliver fast wins with a Data Strategy MVP in weeks, not months. Unflinching about what hasn’t worked yet unapologetically hopeful about what’s next, this book is a call to arms for data leaders ready to escape the status quo. If you want to stop explaining why data should matter and start proving it with measurable results, The Data Hero Playbook is your guide. Become the data hero your company actually needs.

Objev podobné jako The Data Hero Playbook - Malcolm Hawker

Qualitative Data Collection Tools is a new and unique supplementary text that will guide students and new researchers to design, develop, pilot, and employ qualitative tools in order to collect qualitative data. An often-omitted subject in general qualitative textbooks, qualitative tools form the backbone of the data collection process. Students and new researchers are frequently left to create their own qualitative tools from scratch, an unnecessary hurdle in the qualitative research design process. Author Felice D. Billups has used her experience as a qualitative researcher, and in teaching and advising students about qualitative research, to develop the templates in this book as a starting point for readers conducting original qualitative research. The author briefly describes each method of data collection and offers readers suggestions for using and adapting the qualitative instrument templates within the text. Templates of interview protocols, focus group moderator guides, content analysis tools, document analysis tools, reflective questionnaires, diary and journal logs, and observational rubrics give the reader either a cut-and-paste solution for their own research or a starting point to design their own personalized qualitative tools. The first three chapters illuminate the qualitative data collection process and the role each type of qualitative tool plays in that process. The next six chapters provide detailed guides and numerous templates for each qualitative data collection method, covering interviews, focus groups, conversation and discourse analysis, observations, document analysis, field notes, journaling, and other reflective practices. A final chapter pulls together the multifaceted nature of qualitative research design and connects each tool back to the methodology to ensure trustworthiness and rigor in the data collection and instrument development process. Exemplars populate the appendices, offering readers concrete inspiration for ways to use and adapt the tools provided. If you have ever puzzled over how to best to design qualitative tools in order to guide and structure your qualitative data collection, or if you are embarking on your first qualitative study, Qualitative Data Collection Tools will give you a practical starting point to help make your qualitative data collection process easier and more organized.Â

Objev podobné jako Qualitative Data Collection Tools - Felice D. Billups

Gain in-depth knowledge about how companies manipulate and exploit personal data. A book that does not require particular technical knowledge – just mere curiosity to explore the subject. From tech experts to the general public, Data for All is the ground-breaking guide to help with the ways third parties use personal data. Written by bestselling author John K Thompson, this edition will aid your understanding of areas, such as The types of data you generate with every action, every day Where your data is stored, who controls it, and how much money they make from it How you can manage access and monetisation of your own data Restricting data access to only companies and organisations you want to support The history of how we think about data, and why that is changing The new data ecosystem is being built right now for your benefit About the technology For years, companies have had free rein to use every click, purchase, and “like” you make, to earn money. Now, across the globe, new laws have been written, passed, and are coming into force, giving individuals the right to access, delete, and monetise their own data. This book provides a vision of how you can use these laws, regulations, and services to directly benefit from your data in new and lucrative ways.

Objev podobné jako Data for All - John K. Thompson

For many outside of the scientific community, big data and the forms it takes, such as statistical lists, spreadsheets and graphs, often seem abstract and unintelligible. This book investigates how digital fabrication and traditional making approaches are being used to present data in newly engaging and interesting ways.The first part of the book introduces the basic premise of the data object and the concept of making digital data into a physical form. Contributors cover topics such as biometrics, new technology, the economics of data and open and community uses of data. The second part presents a selection of exemplar forms and contexts for the application of data-objects, such as smart surfaces, smart cities, augmented reality techniques and next generation technical interfaces that blend physical and digital elements.Making Data delivers the importance and likely future prevalence of physical representations of data. It explores the creative methods, processes, theories and cultural histories of making physical representations of information and proposes that the making of data into physical objects is the next important development in the data visualisation phenomenon.

Objev podobné jako Making Data

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.

Objev podobné jako Public Data Cultures - Jonathan W. Y. Gray

Jednorázové pleny - klasické, velikost 2, pro dítě s hmotností 3 až 6 kg, 43 kusů v balení, bez parfemace, materiál bavlna, řada DADA Extra Care U spokojenosti vašeho dítka záleží na tom, aby se cítilo v suchu. Jednorázové pleny Dada řady DADA Extra Care, klasického designu, nebudou miminko omezovat a zajistí mu pohodlí. Velikost nabízené varianty je 2. Ta je ideální pro děti od 3 do 6 kg. Nejsou parfemované. Výrobním materiálem je bavlna. V balení dostanete 43 plen Dada. Zásadní přednosti jednorázových plen DADA Extra Care MINI vel. 2 (43 ks) Dětské plenky Dada řady DADA Extra Care o velikosti 2 Pro novorozence Uzpůsobeno pro děti od 3 do 6 kg Pleny nejsou parfémovány Potěší vás praktické zapínání na suchý zip Použitý materiál bavlna Balení čítá 43 jednorázových plen Dada

Objev podobné jako DADA Extra Care MINI vel. 2 (43 ks) (8594159081130)

Autentická, dokumentárně vzpomínková a zároveň provokativní kniha jednoho ze zakladatelů dadaistického hnutí Raoula Hausmanna s názvem Courrier Dada vyšla francouzsky poprvé roku 1958. Přináší očité svědectví o zrodu a podobách jedné z klíčových epoch ve vývoji moderního umění: "Nejdůležitějším postřehem - protože dada bylo víc než dada - je, že na počátku byly rozmanité, vzájemně provázané podněty a společenská i umělecká kritika a revolta. Tyto nepostihnutelné vlivy zůstaly pro většinu z nás skryty a vyjevují se zřetelněji až nyní; v tom se dada podobá jiným aktivitám. Ve své době ale bylo vše dada a dada bylo vším. Měšťáci ho považovali za tlachání nebo podivný žert, brzy ale zjistili, že se mýlí. Povedlo se nám zaplnit noviny falešnými zprávami o dada a jeho zločinech. Čím skutečně dada bylo, se dozvíte v této knize."

Objev podobné jako Dada kurýr - Raoul Hausmann

Mýlí se historie? Fakta vs. konspirace Nikdy se nenašlo Hitlerovo tělo. Ani moderní analýza DNA nepřinesla jasnou odpověď. Odpovídají očitá svědectví a nepřímé důkazy realitě? Britský historik Luke Daly-Groves vychází z nepublikovaných dokumentů i přísně tajných záznamů tajných služeb a nabízí nový pohled na mnohé konspirační teorie, které obklopují smrt nejničivějšího diktátora 20. století. Zemřel Adolf Hitler skutečně v berlínském bunkru 30. dubna 1945? Skrývala M16 pravdu o jeho smrti? Dokázal uniknout Sovětům a uprchnout do Argentiny? Opravdu byl Hitler viděn v Americe řadu let po konci války? Zatímco 30. dubna 1945 Rudá armáda dobývala ulice Berlína, stáhl se Adolf Hitler naposledy do soukromých pokojů ve svém bunkru. Dramatické události onoho dne zůstávají i po 80 letech zdrojem záhad, kontroverzí a debat. Tato kniha je prvním pokusem akademického historika o návrat k důkazům o Hitlerově sebevraždě. Lze brát argumenty konspiračních teoretiků vážně? Luke Daly-Groves využívá dokumenty shromážděné britskými a americkými tajnými službami, včetně materiálů šířených konspirátory samotnými, a odpovídá na množství důležitých otázek. Proč si lidé myslí, že Hitler přežil druhou světovou válku? Jaké jsou motivace šiřitelů konspiračních teorií? Proč řada tajných služeb vyšetřovala pověsti o jeho přežití? Můžeme věřit závěrům britské rozvědky? Se svým skeptickým, ale nepředpojatým přístupem se Daly-Groves vrací k detailním zprávám a hlášením, jež tehdy vytvářely britské a americké rozvědky. Zkoumá teprve nedávno odtajněné složky MI5 a FBI, dosud nepublikované nákresy Hitlerova bunkru, osobní hlášení představitelů tajných služeb vyšetřujících vůdcovu smrt i zprávy z výslechů očitých svědků. Ve své knize analyzuje události plné přestřelek, drancování i tajných agentů a vypráví kompletní příběh o Hitlerově smrti. Český překlad anglického originálu vydavatelství Osprey © Text Luke Daly-Groves Dr. Luke Daly-Groves je historik působící na University of Manchester. Zabývá se především činností britských a amerických tajných služeb v poválečném Německu. Roku 2015 získal bakalářský titul s vyznamenáním na University of Central Lancashire a byl vyznamenán cenou Sydneye Leeho za historii. V roce 2016 obdržel na University of Leeds titul magistra s vyznamenáním. Jeho magisterská práce získala cenu Marion Sharplesové. Svoji disertační práci zabývající se angloamerickými rozvědkami v okupovaném Německu v letech 1945–1955 obhájil v roce 2020. V současné době vyučuje na University of Manchester, provádí vlastní výzkum a podílí se na tvorbě televizních pořadů Forbidden History a History’s Greatest Mysteries. „Luke Daly-Groves předkládá dobře napsané, vyčerpávající a přesvědčivé argumenty proti představě, že Hitler přežil duben 1945.“ - Frank McDonough, profesor světových dějin, Liverpool John Moores University, autor knihy The Gestapo: The Myth and Reality of Hitler’s Secret Police „Velmi poutavé čtení, které svým působivým a důkladným výzkumem rozbíjí historické nesmysly obklopující Hitlerovu smrt.“ - Guy Walters, autor knihy Hunting Evil „Ve své fascinující analýze, okořeněné sarkastickým humorem, vnáší Luke Daly-Groves vědecký přístup a impozantní množství nových indicií do tématu, které se až příliš často utápí v honbě za senzacemi a ve výmyslech.“ - Dr. Jonathan Colman, katedra světových dějin, University of Central Lancashire

Objev podobné jako Hitlerova smrt - Luke Daly-Groves

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, through exercises and provocative lessons, anyone can harness the power and awesome wonder of their own genius, mastering such life-changing skills as problem solving, creative thinking, self-expression, goal setting and life balance, and harmonizing body and mind.

Objev podobné jako How to Think Like Leonardo da Vinci - Michael J. Gelb

When a cyber security incident occurs, how does anyone know? Data must leave workstations and servers, bounce across the network, and land in a central database before analysts can use it. This project-based book covers that complex space between an organization''s computers and the security analyst tasked with protecting them. The guidance is straightforward, and the focus is on streamlining the process of gathering, transforming, and storing cybersecurity data using free and open-source tools. The author elaborates on core but often overlooked logging strategies, while also emphasizing the importance of standardizing data, using encryption to protect transmitted data, and creating ''data pipelines'' that support cybersecurity, data analytics, and automation needs alike. You''ll how to: Implement core logging strategies using free tools such as Elastic stack; Transform data to fit your needs, and configure your tools to send it back and forth; Secure your logging infrastructure by encrypting connections using TLS and SSH; Handle version control and backups with Git, and improve your efficiency with caching. By the end, you''ll know how to enrich your security data, protect it from unauthorized parties, and automate your workflow in the process - leaving more room for creative thinking.

Objev podobné jako Data Engineering for Cybersecurity - James Bonifield

Data is an integral part of our lives. It helps us to unlock hidden mysteries and even predict the future. The Expanding World of Data uncovers the world of data in a way that is accessible, engaging and thought-provoking, using colourful artwork, illustrations, comic strips, ''Speak like a Scientist'' and data hero sections. This book is the perfect resource for those curious minds who want to know more about data, what it is and what it does. Data can even help us to make the planet a better place.This title is one of an exciting series from Oxford, giving accessible introductions to the ideas, facts, and vocabulary behind an absorbing range of subjects. Meticulously researched and written by experts in their fields, curious young readers will quickly get to grips with the basic principles and terminology of each subject.Author Tom Jackson has been a writer for 25 years, written about 200 books and specializes in science and technology. Consultant Dr Bran Knowles is a Senior Lecturer in the Data Science Institute at Lancaster University where she leads the Data and Society theme.The Expanding World of Data is part of a wider collectible set. If you love this title, why not collect them all?

Objev podobné jako Very Short Introductions for Curious Young Minds: The Expanding World of Data - Tom Jackson

Explore the beauty of the Lake District dales with this enchanting and absorbing guide.Crisp and sharp, fascinating throughout, [this book] is an outstanding journey through the Lake District. - Bill Birkett, Author, Mountaineer and PhotographerThe Lake District has over 100 dales, many of them tranquil enclaves far from the hectic comings and goings of daily Lakeland life. Yet beyond the main river arteries, most dales remain little-known; some see more sheep and deer than humans. Even locals would be hard pressed to pinpoint some with certainty.Ticking your way through a list of Lake District summits is easy; they stick up and are easily accounted for. Less so the dales. Where, for example, is Blengdale, or Miterdale, seldom-visited Woundale, Fusedale, Moasdale and Pasture Bottom?In Exploring Lake District Dales, Terry Marsh champions the cause of the dales. Diving into their geology, geography, history, culture, folklore and matters of curious and touristic interest, this book reveals the beauty and appeal of dales, great and small.Among captivating text and stunning photography, Exploring Lake District Dales also provides you with essential visitor information such as transport links, the most inspiring visitor attractions and sights, unmissable restaurants and great places to stay, making this book the complete package for all Lake District admirers.

Objev podobné jako Exploring Lake District Dales - Marsh Terry

Data science and machine learning—two of the world''s hottest fields—are attracting talent from a wide variety of technical, business, and liberal arts disciplines. Python, the world''s #1 programming language, is also the most popular language for data science and machine learning. This is the first guide specifically designed to help students with widely diverse backgrounds learn foundational Python so they can use it for data science and machine learning. This book is catered to introductory-level college courses on data science. Leading data science instructor and practitioner Kennedy Behrman first walks through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data science programmer needs to master. Once students have learned these foundations, Behrman introduces intermediate and applied Python techniques for real-world problem-solving. Throughout, Foundational Python for Data Science presents hands-on exercises, learning assessments, case studies, and more—all created with Colab (Jupyter compatible) notebooks, so students can execute all coding examples interactively without installing or configuring any software.

Objev podobné jako Foundational Python for Data Science - Kennedy Behrman

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 that make an impact and influence outcomes Every page of storytelling with data: before and after is packed with insights drawn from real-world experience, distilled into easy-to-implement strategies. No matter your role, experience level, or comfort with data, you'll learn practical lessons you can apply right away. Each transformation delivers meaningful takeaways to help you create data stories that resonate—and get results. This book is your ultimate blueprint for turning graphs into persuasive, decision-driving stories.

Objev podobné jako Storytelling with Data - Cole Nussbaumer Knaflic, Alex Velez, Mike Cisneros

An expansive vision for data equality that goes beyond algorithmic fairness. When we gave algorithms power over our world, we hoped that the apparent neutrality of machine thinking would create a more egalitarian age. Yet we are more divided than ever, staring down threats to democracy itself. In Data Equals, Colin Koopman argues that data technologies fail us so often because we built them around a deficient notion of equality. It is not enough, Koopman explains, that algorithms engage everyone’s data with the same measuring stick. The data themselves are all too often structured in ways that obscure and exacerbate stratifying distinctions. Koopman contends that we must also work to ensure that those people subject to computational assessment enter data systems on equal terms. Part philosophical argument, part practical guide (replete with case studies from education technology), Data Equals offers novel methods for realizing democratic equality in a digital age.

Objev podobné jako Data Equals - Colin Koopman

Stochastic Modelling of Big Data in Finance provides a rigorous overview and exploration of stochastic modelling of big data in finance (BDF). The book describes various stochastic models, including multivariate models, to deal with big data in finance. This includes data in high-frequency and algorithmic trading, specifically in limit order books (LOB), and shows how those models can be applied to different datasets to describe the dynamics of LOB, and to figure out which model is the best with respect to a specific data set. The results of the book may be used to also solve acquisition, liquidation and market making problems, and other optimization problems in finance.FeaturesSelf-contained book suitable for graduate students and post-doctoral fellows in financial mathematics and data science, as well as for practitioners working in the financial industry who deal with big dataAll results are presented visually to aid in understanding of conceptsDr. Anatoliy Swishchuk is a Professor in Mathematical Finance at the Department of Mathematics and Statistics, University of Calgary, Calgary, AB, Canada. He got his B.Sc. and M.Sc. degrees from Kyiv State University, Kyiv, Ukraine. He earned two doctorate degrees in Mathematics and Physics (PhD and DSc) from the prestigious National Academy of Sciences of Ukraine (NASU), Kiev, Ukraine, and is a recipient of NASU award for young scientist with a gold medal for series of research publications in random evolutions and their applications.Dr. Swishchuk is a chair and organizer of finance and energy finance seminar ‘Lunch at the Lab’ at the Department of Mathematics and Statistics. Dr. Swishchuk is a Director of Mathematical and Computational Finance Laboratory at the University of Calgary. He was a steering committee member of the Professional Risk Managers International Association (PRMIA), Canada (2006-2015), and is a steering committee member of Global Association of Risk Professionals (GARP), Canada (since 2015).Dr. Swishchuk is a creator of mathematical finance program at the Department of Mathematics & Statistics. He is also a proponent for a new specialization “Financial and Energy Markets Data Modelling” in the Data Science and Analytics program. His research areas include financial mathematics, random evolutions and their applications, biomathematics, stochastic calculus, and he serves on editorial boards for four research journals. He is the author of more than 200 publications, including 15 books and more than 150 articles in peer-reviewed journals. In 2018 he received a Peak Scholar award.

Objev podobné jako Stochastic Modelling of Big Data in Finance - Anatoliy Swishchuk

What is Big Data, and why should you care?Big data knows where you''ve been and who your friends are. It knows what you like and what makes you angry. It can predict what you''ll buy, where you''ll be the victim of crime and when you''ll have a heart attack. Big data knows you better than you know yourself, or so it claims.But how well do you know big data?You''ve probably seen the phrase in newspaper headlines, at work in a marketing meeting, or on a fitness-tracking gadget. But can you understand it without being a Silicon Valley nerd who writes computer programs for fun?Yes. Yes, you can.Timandra Harkness writes comedy, not computer code. The only programmes she makes are on the radio. If you can read a newspaper you can read this book.Starting with the basics – what IS data? And what makes it big? – Timandra takes you on a whirlwind tour of how people are using big data today: from science to smart cities, business to politics, self-quantification to the Internet of Things. Finally, she asks the big questions about where it''s taking us; is it too big for its boots, or does it think too small? Are you a data point or a human being? Will this book be full of rhetorical questions? No. It also contains puns, asides, unlikely stories and engaging people, inspiring feats and thought-provoking dilemmas. Leaving you armed and ready to decide what you think about one of the decade''s big ideas: big data.

Objev podobné jako Big Data - Timandra Harkness

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

Objev podobné jako What Does Your School Data Team Sound Like? - Dean T. Spaulding, Gail M. Smith

We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial – it is collected some-where – and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges.Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. This is a ‘learning by doing’ textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.

Objev podobné jako Geographical Data Science and Spatial Data Analysis - Chris Brunsdon, Lex Comber

The data-driven world is filled with opportunities, but you’ll need more than just technology to succeed – it requires data-confident leadership to drive real value.Drive RAPPID Results From Data is a practical guide for business leaders who want to make the most of their data to generate growth.Read this book to:• Understand the critical role you play in driving data-led growth, and how to step into that responsibility with confidence• Discover how to invest confidently in value-driving data analytics-led initiatives that improve your ability to compete in the market• Recognise the key ingredients for success, with suitable frameworks to support you on the journey to using data to improve your bottom line• Grow the measurable value realised from your data analytics-led initiatives by aligning leaders and teams• Deploy proven techniques to build your data-confidence and drive significant results, regardless of your starting point

Objev podobné jako Drive RAPPID Results from Data - Karl Dinkelmann, Zjaen Coetzee

This book provides insights into the true nature of financial and economic data, and is a practical guide on how to analyze a variety of data sources. The focus of the book is on finance and economics, but it also illustrates the use of quantitative analysis and data science in many different areas. Lastly, the book includes practical information on how to store and process data and provides a framework for data driven reasoning about the world.The book begins with entertaining tales from Graham Giller''s career in finance, starting with speculating in UK government bonds at the Oxford Post Office, accidentally creating a global instant messaging system that went ''viral'' before anybody knew what that meant, on being the person who forgot to hit ''enter'' to run a hundred-million dollar statistical arbitrage system, what he decoded from his brief time spent with Jim Simons, and giving Michael Bloomberg a tutorial on Granger Causality.The majority of the content is a narrative of analytic work done on financial, economics, and alternative data, structured around both Dr Giller''s professional career and some of the things that just interested him. The goal is to stimulate interest in predictive methods, to give accurate characterizations of the true properties of financial, economic and alternative data, and to share what Richard Feynman described as ''The Pleasure of Finding Things Out.''

Objev podobné jako Adventures In Financial Data Science: The Empirical Properties Of Financial And Economic Data - Graham L Giller

An ideal textbook for complete beginners—teaches from scratch R, statistics, and the fundamentals of quantitative social scienceData Analysis for Social Science provides a friendly introduction to the statistical concepts and programming skills needed to conduct and evaluate social scientific studies. Assuming no prior knowledge of statistics and coding and only minimal knowledge of math, the book teaches the fundamentals of survey research, predictive models, and causal inference while analyzing data from published studies with the statistical program R. It teaches not only how to perform the data analyses but also how to interpret the results and identify the analyses’ strengths and limitations. Progresses by teaching how to solve one kind of problem after another, bringing in methods as needed. It teaches, in this order, how to (1) estimate causal effects with randomized experiments, (2) visualize and summarize data, (3) infer population characteristics, (4) predict outcomes, (5) estimate causal effects with observational data, and (6) generalize from sample to population. Flips the script of traditional statistics textbooks. It starts by estimating causal effects with randomized experiments and postpones any discussion of probability and statistical inference until the final chapters. This unconventional order engages students by demonstrating from the very beginning how data analysis can be used to answer interesting questions, while reserving more abstract, complex concepts for later chapters. Provides a step-by-step guide to analyzing real-world data using the powerful, open-source statistical program R, which is free for everyone to use. The datasets are provided on the book’s website so that readers can learn how to analyze data by following along with the exercises in the book on their own computer. Assumes no prior knowledge of statistics or coding. Specifically designed to accommodate students with a variety of math backgrounds. It includes supplemental materials for students with minimal knowledge of math and clearly identifies sections with more advanced material so that readers can skip them if they so choose. Provides cheatsheets of statistical concepts and R code. Comes with instructor materials (upon request), including sample syllabi, lecture slides, and additional replication-style exercises with solutions and with the real-world datasets analyzed. Looking for a more advanced introduction? Consider Quantitative Social Science by Kosuke Imai. In addition to covering the material in Data Analysis for Social Science, it teaches diffs-in-diffs models, heterogeneous effects, text analysis, and regression discontinuity designs, among other things.

Objev podobné jako Data Analysis for Social Science - Kosuke Imai, Elena Llaudet

A hands-on workbook that empowers educators to create a more effective and inclusive learning environment In Support of Student Data: A Data Workbook for MTSS Teams is a practical tool that student support teams can use every day to make meaningful, data-driven decisions. The first section of this book provides a framework and protocols for using data to support MTSS and drive systemic change, helping you align resources such as schedules, staffing, and materials to function effectively within a robust tiered system of support. The second section was built to replace antiquated and reactive pre-referral processes. This workbook walks teams through a clear, step-by-step approach to identifying student needs early and matching them with the right level of support. After many successful years of supporting individual districts and schools, Dr. Rodriguez introduces her MTSS² framework to the world. The workbook helps educators move away from gatekeeping systems, where students have to fail or meet rigid criteria before receiving help, toward responsive, evidence-based solutions where real-time data drives immediate tiered support. Whether you're designing Tier 2 interventions, reviewing screening data, or crafting individualized student support plans, this guide provides ready-to-use tools. This workbook includes: A modern process for student support teams to collaboratively review data and define timely, tiered supportsProtocols that guide each stage of intervention planningTemplates, checklists, and visual tools that simplify decision-making and streamline team meetingsReal-world examples, analogies, and case studies that make MTSS accessible and actionable Designed for use by MTSS teams, In Support of Student Data helps organizations shift from using outdated pre-referral systems to a flexible, student-first approach. It’s the essential playbook for schools looking to catch students before they fall and build systems that work for all learners.

Objev podobné jako In Support of Student Data - Kristan Rodriguez

Data has never mattered more. Our lives are increasingly shaped by it and how it is defined, collected and used. But who counts in the collection, analysis and application of data?This important book is the first to look at queer data – defined as data relating to gender, sex, sexual orientation and trans identity/history. The author shows us how current data practices reflect an incomplete account of LGBTQ lives and helps us understand how data biases are used to delegitimise the everyday experiences of queer people.Guyan demonstrates why it is important to understand, collect and analyse queer data, the benefits and challenges involved in doing so, and how we might better use queer data in our work. Arming us with the tools for action, this book shows how greater knowledge about queer identities is instrumental in informing decisions about resource allocation, changes to legislation, access to services, representation and visibility.

Objev podobné jako Queer Data - Kevin Guyan

Master business modeling and analysis techniques with Microsoft Excel and transform data into bottom-line results. Award-winning educator Wayne Winston''s hands-on, scenario-focused guide helps you use today''s Excel to ask the right questions and get accurate, actionable answers. More extensively updated than any previous edition, new coverage ranges from one-click data analysis to STOCKHISTORY, dynamic arrays to Power Query, and includes six new chapters. Practice with over 900 problems, many based on real challenges faced by working analysts. Solve real problems with Microsoft Excel—and build your competitive advantage Quickly transition from Excel basics to sophisticated analytics Use recent Power Query enhancements to connect, combine, and transform data sources more effectively Use the LAMBDA and LAMBDA helper functions to create Custom Functions without VBA Use New Data Types to import data including stock prices, weather, information on geographic areas, universities, movies, and music Build more sophisticated and compelling charts Use the new XLOOKUP function to revolutionize your lookup formulas Master new Dynamic Array formulas that allow you to sort and filter data with formulas and find all UNIQUE entries Illuminate insights from geographic and temporal data with 3D Maps Improve decision-making with probability, Bayes'' theorem, and Monte Carlo simulation and scenarios Use Excel trend curves, multiple regression, and exponential smoothing for predictive analytics Use Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbook

Objev podobné jako Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365) - Wayne Winston

Between the comfort of using a medium they use daily and the perceived easiness of access and use, students are increasingly quick to choose online methods for their research projects. However getting data online isn’t as easy as it seems. No matter how data is collected (through existing materials, through elicited responses, or through work with participants) or what type of online data is used (e.g. blogs, websites, interviews, etc.), there are a lot of unique and complex considerations that must be factored in to every step of the research process. This Little Quick Fix boils down all these potentially thorny issues into a speedy guide so students thinking about working with online data can be prepared for (and avoid) any unexpected circumstances like access issues or ethical dilemmas. It will also help students decide what, if any, online data is best suited to their particular research question so they don’t end up fighting unnecessary complications for little benefit. It covers: What types of data collection do researchers conduct online? How do I choose which type(s) fit my research? How can I find, and get permission to use, data that exists online? How can I find, and gain consent from, participants online? How can I interact with participants online to collect data? What practical steps should I take to prepare for online research?Little Quick Fix titles provide quick but authoritative answers to the problems, hurdles, and assessment points students face inthe 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&A.DIY 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 students are nailing it as they go and support self-directed learning.How do I know I’m done? Each Little Quick Fix wraps up with a final checklist that allows the reader to self-assess they’ve got what they need to progress, submit, or ace the test or task.

Objev podobné jako Gather Your Data Online - Janet Salmons

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, or time limitations. Additionally, the bookincludes da Costa’s own critical writing on art and politics, as well as self-authoreddescriptions of her own work and an unflinching interview with cancer researcher Robert Schneider, who was a fundamental figure for da Costa at the end of her young life.The book accompanies a solo exhibition at LACE (Los Angeles Contemporary Exhibitions) as part of the Getty’s PST ART: Art & Science Collide initiative.

Objev podobné jako Beatriz da Costa - Daniela Lieja Quintanar

Jednorázové pleny - klasické, velikost 6, pro dítě s hmotností 16 až 30 kg, 39 kusů v balení, absorpční kanálky a bez bělení chlorem, materiál bavlna, řada Dada Extra Soft Hledáte plenky, které neprotečou a zároveň se z nich vaše miminko nebo batole neoprudí? Pak vás potěší dětské pleny DADA Extra Soft ve velikosti 6 pro batolata od 16 kg, které jsou vyrobeny s ohledem na potřeby dětí. Pleny DADA mají super absorpční kanálky, které rychle vstřebávají tekutinu a zanechají pokožku suchou. Jsou anatomické, elastické a přizpůsobí se pohybům dětí, takže je nijak neomezují, zároveň ale také dobře padnou a díky speciálním volánkům nemají tendenci protékat. Vynikají rovněž svou tenkostí a lehkostí. Plenky DADA Extra Soft vel. 6 obsahují výtažek z aloe vera, který chrání pokožku. Nemusíte se tedy bát alergií. Klíčové vlastnosti dětských plen DADA Extra Soft vel. 6Dětské plenky DADA Extra Soft vel. 6 jsou vhodné pro děti od 16 kgSuper absorpční kanálky...

Objev podobné jako DADA Extra Soft vel. 6 (39 ks) (5903933668246)

Kniha - autor Dana Makrlíková, 208 stran, česky, pevná bez přebalu lesklá Známá zahradní architektka radí, jak na nejčastější problémy v zahraděŽivé ploty, trvalkové záhony, zídky, cestičky, zahradní domky či terasy. To všechno jsou témata, s nimiž se na Danu Makrlíkovou obracejí diváci jejích pořadů. Právě proto dala dohromady neocenitelného rádce, ve kterém najdete řešení nejčastějších problémů, které vás při tvorbě zahrad mohou potkat. Ryze praktické tipy pro běžné majitele pozemků doplňují profesionální fotografie, osazovací plány a přehledné grafické vizualizace. Inspirujte se i vy!Napsali o knize Zahrady od Dany 2„Z vlastní zkušenosti mohu potvrdit, že Dana dělá zahrady celým svým srdcem a poctivě. Stejně tak poctivá a od srdce je i její druhá kniha. Našla jsem v ní spoustu konkrétních rad a tipů pro každého, kdo chce mít u domu zahradu pro radost. A po přečtení už přesně vím, které rady uplatním v praxi – tak snad mě Dana přestane po letech prohánět, že...

Objev podobné jako Zahrady od Dany 2: Jak na problémy v zahradě (978-80-264-4661-3)

Dáma - Královská hra pro bystré mysli Objevte kouzlo nejstarší deskové hry na světě! Vážení milovníci strategických her a historických pokladů, představujeme vám Dámu - hru, která přetrvala tisíciletí a stále fascinuje miliony hráčů po celém světě. Není to jen obyčejná desková hra, je to brána do světa strategie, taktiky a intelektuálního souboje. Proč si pořídit právě naši Dámu? 1. Nadčasová klasika: Dáma není jen hra, je to kus historie ve vašich rukou. Představte si, že hrajete stejnou hru, kterou se bavili faraoni ve starověkém Egyptě! 2. Kvalitní provedení: Naše sada obsahuje: 24 precizně opracovaných dřevěných kamenů (12 světlých a 12 tmavých) Luxusní rozkládací dřevěnou herní desku Podrobný český návod s ilustracemi 3. Rozvoj myšlení: Dáma není jen zábava, je to trénink pro váš mozek. Zlepšete svou schopnost strategického myšlení, předvídavosti a rozhodování. 4. Pro všechny generace: Od dětí po seniory, Dáma spojuje rodiny a přátele. Je to ideální způsob, jak strá

Objev podobné jako Dáma

Stolní LED lampa GLOBO DAVOS 58209W – Moderní design, maximální flexibilitaStolní lampa GLOBO DAVOS 58209W je spojením moderní estetiky a vysoké funkčnosti. Díky své nastavitelnosti, dotykovému ovládání a možnosti změny barvy světla se stane ideálním doplňkem vašeho pracovního stolu, nočního stolku i čtenářského koutku. Minimalistický bílý design podtrhne každý interiér a nabídne komfort i při dlouhém studiu nebo práci.Klíčové vlastnosti svítidla DAVOS Dotykové ovládání – Pohodlné zapnutí, vypnutí i regulace jasu pouhým dotykem. Plynulé stmívání a změna teploty světla – Volba mezi neutrálním až chladným bílým světlem (CCT 4000/5000/6000K). Nastavitelná konstrukce – Flexibilní rameno pro optimální nasměrování světla podle vašich potřeb. Úsporný LED zdroj – Vestavěná LED 7W s intenzitou 250 lm šetří energii a poskytuje dostatek světla pro práci i relaxaci. Moderní plastové provedení – Lehký, odolný materiál v elegantní bílé barvě. Včetně adaptéru – Stačí zapojit do zásuvky a ihned používat.Technické parametry Rozměry: výška 565 mm, šířka 155 mm, délka 550 mm Světelný tok: 250 lm Barva světla: nastavitelná 4000/5000/6000K Výkon: 7W LED (součástí) Napětí: 230V Krytí: IP20 (vhodné do interiéru) Materiál: plast Barva: bíláModerní komfort bez kompromisůDíky dotykovému stmívači snadno přizpůsobíte intenzitu i teplotu světla aktuální aktivitě – ať už pracujete na počítači, čtete knihu, nebo relaxujete. Díky svému čistému vzhledu je DAVOS vhodný do domácích kanceláří, studentských pokojů i minimalistických interiérů.Trust badges & garance Životnost LED: až 30 000 h Záruka: 2 roky Certifikace: CE, RoHSČasto kladené otázky (FAQ) Mohu nastavit úhel svícení podle potřeby? Ano, rameno lampy je plně nastavitelné, což umožňuje přesné nasměrování světla. Lze vyměnit LED zdroj? Ne, LED zdroj je integrovaný a není určen k výměně, ale nabízí dlouhou životnost až 30 000 hodin. Doporučení architekta: Lampa DAVOS se hodí jak do moderních pracoven, tak do dětských pokojů. Je ideální pro uživatele, kteří vyžadují flexibilní a úsporné osvětlení s jednoduchým ovládáním a elegantním designem. Pokud potřebujete kvalitní pracovní světlo s možností nastavení barvy i intenzity, je pro vás DAVOS tou pravou volbou.

Objev podobné jako GLOBO DAVOS 58209W Stolní lampa

DVD kolekce Dana Medřická obsahuje: 13. revír, Měsíc nad řekou, Zde jsou lvi, Černá sobota. 13. revír režie: Martin Frič, 1946, 95 min., čb Inspektor Čadek (Jaroslav Marvan) má dohlédnout na propuštěného kasaře Kočku. Domnívá se, že si Kočka půjde vyzvednout lup, který se policii nepodařilo najít. Jak dopadne práskač Karta, který ho udal a osiřelá dívka Frony, která ho opustila? Čí život ukončily půlnoční výstřely a kam zmizel Číňan Wang? Film začal na počátku roku 1945 natáčet J. A. Holman s Lídou Baarovou. Martin Frič jej dokončil podle částečně přepracovaného scénáře a s novou hlavní představitelkou. hrají: Dana Medřická, Jaroslav Marvan, Ella Nollová, Vilém Pfeiffer, Nora Cífková, Miloš Nedbal, L. H. Struna, Vladimír Řepa TITULKY: české pro neslyšící Měsíc nad řekou režie: Václav Krška, 1953, 100 min., barevný Mimořádná adaptace divadelní hry Fráni Šrámka s vynikajícími hereckými výkony Příběh z malého městečka líčí tichou rezignaci Jana Hlubiny, kdysi nejlepšího studenta místního gymnázia, který však podlehl tlaku vnějších okolností, zklamal naděje v sebe kladené a uvízl v městečku jako papírník. Na tyto zklamané naděje navazuje citový osud jeho dcery Slávky, vzdorující měšťácké představě o nutnosti sňatku, třebas bez lásky, jako jediného řešení života ženy. Vše změní její setkání s Vilíkem Roškotem, který doprovází svého otce do městečka, kde se koná abiturientský sjezd. Pod vlivem kouzla měsíčního večera a hučící řeky prožívají oba mladí lidé milostné sblížení, které u Slávky vyvolá prudký konflikt rozumu a citu… hrají: Zdeněk Štěpánek, Zdeňka Baldová, Dana Medřická, Jiří Plachý, Eduard Cupák, Blanka Waleská, Václav Vydra, Eman Fiala TITULKY: české pro neslyšící Zde jsou lvi režie: Václav Krška, 1958, 88 min., čb Nadčasové psychologické drama Václava Kršky, které je otevřenou kritikou společnosti Hlavním hrdinou příběhu je závodní inženýr Štěrba, který havaruje na motorce a je v ohrožení života. Jeho spolupracovníci z Dolu Žofie čekají s napětím na zprávu z nemocnice. Děj se vrací k událostem, které neštěstí předcházely… Film vyniká nejen díky dobrému scénáři, kvalitní kameře a bravurnímu režijnímu zpracování, ale také hereckými výkony Karla Högera, Dany Medřické či Jarmily Smejkalové. Patří ke klenotům 50. let minulého století, který ovšem společně s dalšími společensko-kritickými filmy skončil na pár let zamčený v trezoru. hrají: Karel Höger, Dana Medřická, Jarmila Smejkalová, Alena Kreuzmannová, Bedřich Vrbský, Svatopluk Matyáš, Jiřina Bohdalová TITULKY: české pro neslyšící Černá sobota režie: Miroslav Hubáček, 1960, 70 min., čb Detektivní drama pojednávající o metylalkoholové aféře Skladník Kubíček ukradne z odstavené cisterny dva demižóny alkoholu, netuší však, že se jedná o metylalkohol. Jeden dá Rezkovi, prodavači z nádražní trafiky, a druhý Valenovi. V hospodě, kterou vede Rezkova žena Věra, pohostí Rezek levným alkoholem sv&

Objev podobné jako Dana Medřická - kolekce (4 DVD)

Hana Benešová je považována za dokonalou první dámu. Tisíce fotografií a desítky dochovaných oděvů a doplňků dokládají mimořádný vkus této výjimečné osobnosti. To nejlepší z nich nyní nabízí čtenářům nový obraz paní Hany jako dámy, která se navždy stala vzorem elegance. Název knihy První dáma elegance odkazuje ke dvěma nejznámějším rolím Hany Benešové. Byla vzorem první dámy a byla vzorem elegance. K obojímu vedla dlouhá cesta. Narodila se jako Anna Vlčková 16. července 1885. Osudovým se pro ni stalo seznámení s Edvardem Benešem. Po jeho boku pak prožila vzestupy i pády. Byla ženou středoškolského učitele, emigranta, ministra zahraničních věcí a konečně i prezidenta. V jejím životě se tak odrážejí dějiny značné části 20. století.Protože její předchůdkyně Charlotta Masaryková byla vážně nemocná a brzy zemřela, je dodnes vnímána jako první první dáma až paní Hana. Na tuto roli se připravovala roky jako manželka ministra zahraničních věcí, která doprovázela manžela i prezidenta Masaryka při řadě společenských událostí. Podle jejích současníků byla vždy kultivovaná, reprezentativní a taktní.Tyto vlastnosti nezískala ze dne den. Určitá pokora jí byla vlastní, ale jazykové znalosti, obratnost v komunikaci a distinguované vystupování tříbila díky řadě kontaktů, častým cestám a sebevzdělání. Součástí celkového obrazu vždy noblesní první dámy byl i její vzhled.Díky vždy aktuálním, vhodně k příležitosti zvoleným, kvalitním a jejímu osobnímu stylu odpovídajícím oděvům se stala vzorem elegance. Napodobovala jí Marta Gottwaldová i řada obyčejných žen. Kouzlo elegance ovšem netkví v dokonalém oděvu z prestižního módního závodu, ale je tvořeno souzněním vkusu a vnitřního světa, tj. harmonií oděvu s nositelem. Osobitý přístup paní Hany k módě se projevil především v oblibě kostýmů.Nejraději nosila anglické kostýmy smokingového střihu, které ozvláštňovala řadou doplňků. Důležitou roli hrály především klobouky. V kontextu jednoduchým praktických kostýmů byly ty naopak apartní a nápadné. Paní Hana měla schopnost kombinovat a svůj oděv pak nosit s noblesou. To je to, co dnes označujeme spojením „prvorepubliková elegance“. A to paní Hana ztělesňovala více než kdokoli jiný.

Objev podobné jako První dáma elegance Hana Benešová - Miroslava Burianová

Šachy, dáma, mlýn – 37 her v jednom dřevěném retro setuMilovníci klasických her, pozor! Tento elegantní set spojuje šachy, dámu a mlýn v jednom balení s precizně zpracovanými dřevěnými komponenty a moderním retro designem. A nejen to – součástí balení je i brožura s pravidly pro celkem 37 herních variant! Od tradičních šachových bitev po logické hlavolamy a kreativní variace pro jednoho i dva hráče. Šachy: Strategická klasika pro dva hráče s možností naučit se nejen základní pravidla, ale i různé herní varianty – např. dvojtahy, poziční šachy nebo jezdcovu výzvu. Dáma: Hraje se pouze na tmavých polích, s možností proměny figurky na dámu a různorodými taktikami včetně „žravé dámy“ nebo „rohové varianty“. Mlýn: Cílem je vytvořit řadu tří stejných kamenů – tzv. mlýn – a tím vyřazovat soupeřovy kameny. V sadě najdete klasická pravidla i alternativy jako jezdecký mlýn nebo věžičky. Co rozvíjí Logické a strategické myšlení – ideální pro hráče každého věku Paměť a koncentraci – hlavně u šachových a hlavolamových variant Kreativitu a variabilitu – díky rozmanitým verzím pravidel Obsah balení 1 oboustranný herní plán (šachovnice / mlýn) 32 dřevěných šachových figurek 30 dřevěných kamenů pro dámu a mlýn 1 pravidla v češtině a slovenštině (se 37 herními variantami) Vhodné pro děti od 6 let i dospělé, kteří si rádi potrápí hlavu a užijí si poctivou porci stolní zábavy. Ideální jako dárek pro rodiny, prarodiče nebo do herního koutku.

Objev podobné jako Šachy, dáma, mlýn

Učebnice představuje originální přístup k veřejněpolitickému i obecně společenskovědnímu výzkumu. Nesoustředí se na celý výzkumný proces, ale jako jeden z klíčů k uchopení výzkumného problému prezentuje data. Vedle obecné diskuze specifik dat různého typu a původu a konkrétních tipů na práci s nimi nabízí učebnice také detailní příklady. Ty jsou psány tak, aby odhalovaly jak rovinu práce s daty v daném výzkumném kontextu, tak i osobní přemýšlení jednotlivých výzkumníků a výzkumnic nad jejich úkoly (včetně vstupních ambic v konfrontaci s reálným postupem a výsledkem, pochybností a reflexe zkušeností, které bádání přineslo).Na vzniku učebnice spolupracoval tým 31 autorů a autorek. První verze kapitol posuzovalo 17 studujících Fakulty sociálních věd Univerzity Karlovy - díky tomu je kniha psána maximálně srozumitelně a s důrazem na to, aby byla skutečnou oporou všem, kteří se chtějí ve společenskovědním (a zejména kvalitativním) výzkumu zorientovat.Kniha má celkem 15 kapitol rozčleněných na pět částí: Data získaná od konkrétních lidí, Administrativní data, Data z mediálního prostoru, Data z prostředí výzkumu, Další fantastické přístupy k datům a jejich zpracování.

Objev podobné jako Fantastická data ve veřejné politice a jak je využít - Eva Hejzlarová, Magdalena Mouralová, Martina Štěpánková Štýbrová

Prepare for Microsoft Exam 70-778–and help demonstrate your real-world mastery of Power BI data analysis and visualization. Designed for experienced BI professionals and data analysts ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Consume and transform data by using Power BI Desktop Model and visualize data Configure dashboards, reports, and apps in the Power BI Service This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have experience consuming and transforming data, modeling and visualizing data, and configuring dashboards using Excel and Power BI

Objev podobné jako Exam Ref 70-778 Analyzing and Visualizing Data by Using Microsoft Power BI - Daniil Maslyuk