unicornado dana simpsonova

Get ready to experience a whole new thrilling sequence of adventure and discovery in the delightful, New York Times bestselling Phoebe and Her Unicorn series by Dana Simpson.A new school year means many things for nine-year-old Phoebe Howell and her unicorn best friend, Marigold Heavenly Nostrils. They prepare for a school dance (lame!), meet new friends (ghosts and gnomes and goblins, OH MY!), and even experience a rare supernatural phenomenon called a Unicornado! In fact, sometimes things get almost too magical. Marigold’s presence attracts pixies, talking birds, and a sphinx, turning Phoebe’s house into a magical sylvan glen. And Marigold even briefly transforms Phoebe into a goblin. Whether they’re trick-or-treating, singing showtunes, or casting new spells, every day for Phoebe and Marigold is an adventure thanks to the power of friendship.

Objev podobné jako Unicornado - Dana Simpsonová

Break out your purple hair dye and set your guitar amps to full blast in this rocking new collection of Phoebe and Her Unicorn comics by bestselling author Dana Simpson.Phoebe Howell and her unicorn best friend, Marigold Heavenly Nostrils, are headed to music camp for the summer, where they form a punk rock group with fellow campers Sue and Stevie. Marigold also discovers a portal to a parallel dimension where she and Phoebe come face-to-face with the dark and sinister versions of themselves. Throughout their magical and musical adventures, the best friends learn about the value of friendship, following your heart, and rocking your hardest in this sparkling new collection of Phoebe and Her Unicorn comics by award-winning author Dana Simpson.

Objev podobné jako Punk Rock Unicorn - Dana Simpsonová

The magical friendship of Phoebe and her best friend, unicorn Marigold Heavenly Nostrils, is back in this second adventure of a girl and her mythical creature!One year has passed since Phoebe skipped a rock across a pond, accidentally hit a unicorn in the face, and was granted a single wish—which she used to make the unicorn, Marigold Heavenly Nostrils, her obligational best friend. In some ways, not much has changed. At school Phoebe still clashes with her rival--and sometimes “frenemy”--he ever-taunting and imperious Dakota. Outside of school, she still fills her free time with extra-credit homework assignments, dramatic monologues about the injustices associated with school cliques, and imaginative conspiracy theories regarding global forces like the “powerful construction paper lobby.” But unlike before, Phoebe now has a best friend to share it with—someone to make her laugh and to listen to all her extravagant ideas. In this second volume of Dana Simpson's Phoebe and Her Unicorn series, titled, Unicorn on a Roll, the reader is invited on a journey into the lives of Phoebe and Marigold as they navigate the difficulties of grade school, celebrate the winter holidays, and explore their super hero/super villain personas together. Join in the fun, as ... Unknown localization key: "more"

Objev podobné jako Unicorn on a Roll - Dana Simpsonová

předsíňová sestava Dana Atlantic borovice antracit
předsíňová sestava Dana Atlantic montáž
vakuovací dózy s ukazatelem data
šedá keramická stolní lampa Dayami
předsíňová sestava Dano White rozměry 113,6 cm
předsíňová sestava Dano Atlantic rozměry
hodiny Karlsson s displejem data a dne
předsíňová sestava Dany White s věšákovým panelem
sada her šachy dáma člověče nezlob se
předsíňová sestava Dany White bílá
bílá předsíňová sestava Dana White
předsíňová sestava Dana White 140 cm
předsíňová sestava Dana White Atlantic Pine
hodiny s ukazatelem data a dne
předsíňová sestava Dany Atlantic s úložným prostorem
profesionální multimetr s funkcí Data Hold

Roll out the red carpet for Phoebe and Her Unicorn, the stars of Dana Simpson's bestselling series of comics about two best friends who make every day magical.When your best friend is a unicorn, every day is a stroll down the red carpet. Phoebe Howell’s unicorn BFF, Marigold Heavenly Nostrils, is happy to provide the celebrity treatment—teaching Phoebe fancy new spells, giving her a ride to school so she doesn’t have to ride the bus, and even negotiating with the tooth fairy on her behalf. But when Phoebe starts noticing that unicorns have become a trendy fashion statement, she doesn’t feel quite so unique. Fortunately, she’s distracted by adventures including a visit to the unicorn community and a trip to the woods to see her friend Dakota receive an unusual honor at the goblin award ceremony. Unicorn Famous is filled with amusing examples of the extraordinary lengths friends will go to make each other feel special.

Objev podobné jako Unicorn Famous - Dana Simpsonová

Both of Dana Simpson's original Phoebe and Her Unicorn graphic novels — "The Magic Storm" and "Unicorn Theater" — are collected here in one sparkling volume. Two books in one.

Objev podobné jako The Sparkling Stories of Phoebe and Her Unicorn - Dana Simpsonová

Welcome back to the hilarious and heartwarming world of Phoebe and Her Unicorn, where readers of all ages can always find a friend to lend a magical helping hand — or hoof. For 9-year-old Phoebe Howell and her sparkling companion, Marigold Heavenly Nostrils, every day is an adventure. In this latest installation of Dana Simpson's award-winning Phoebe and Her Unicorn series, Phoebe navigates the challenges of school life with a little help from her unicorn friend, who is always ready with the perfect spell for the occasion. But as the magic spells mount up, both Phoebe and Marigold find themselves wondering if sometimes they might be taking things just a little too far...

Objev podobné jako The Unicorn Whisperer - Dana Simpsonová

Phoebe and Marigold are back for a fifth installment of the award-winning series. Join in on their latest adventures—and experiments—in being themselves!Time flies in this fifth volume of Dana Simpson's Phoebe and Her Unicorn! Follow the lovable duo as they experience somewhat-spooky Halloween parties, ecstatic snow days, and looming summer reading assignments.Although the journey of growing up can sometimes be difficult, along the way Phoebe and Marigold discover something more enduring than goblin fads, unicorn spa vacations, and even a Spell of Forgetting—their one of a kind friendship.

Objev podobné jako Unicorn Crossing - Dana Simpsonová

A dazzling new collection of Phoebe and Her Unicorn comics by New York Times bestselling author Dana Simpson.Being best friends with a unicorn is truly incredible, as 10-year-old Phoebe Howell knows from experience. But what would it be like to actually trade places with a magical unicorn for a day? As it turns out, it’s much harder than it looks! Phoebe’s botched muffin spell turns the sky plaid. And things aren’t any easier for Marigold Heavenly Nostrils, who has no idea how to hold a pencil. In this new collection of Phoebe and Her Unicorn comics, the friends also meet a three-eyed flying creature named Glorpie and encounter an enigmatic ghost. With magic, discoveries, and even a bit of drama, there’s never a dull moment in Unicorn for a Day.

Objev podobné jako Unicorn for a Day - Dana Simpsonová

An enchanting collection of Phoebe and Her Unicorn comics from New York Times bestselling author Dana Simpson.In this collection of Phoebe and her Unicorn comic strips, nine-year-old Phoebe Howell and her magical unicorn friend, Marigold Heavenly Nostrils, explore the complexities of popularity, friendship, and crushes. Phoebe finds herself in the awkward position of taking on her friend Max in a debate contest and also helping her best frenemy, Dakota, regain her confidence. Marigold goes to therapy and reconnects with a friend named Sparkleface McGee who she hasn't seen in 700 years. And both Phoebe and Marigold draw a fun series of comics about their lives. As it turns out, the social lives of a nine-year-old human and a centuries-old unicorn have a lot in common! Young readers will enjoy the caring and comedic adventures of this colorful duo as they rediscover the magic in themselves and in each other.

Objev podobné jako Unicorn Crush - Dana Simpsonová

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

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

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

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)

“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, ... Unknown localization key: "more"

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

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"

Objev podobné jako Azure Data Engineer Associate Certification Guide - Newton Alex

An Absolute Beginner''s Guide to Learning Data Analysis Using Python, a Demanding Skill for TodayKey FeaturesHands-on learning experience of Python''s fundamentals.Covers various examples of how to code end-to-end data analysis with easy illustrations.An excellent starting point to begin your data analysis journey with Python programming.DescriptionIn an effort to provide content for beginners, the book Data Analysis with Python provides a concrete first step in learning data analysis. Written by a data professional with decades of experience, this book provides a solid foundation in data analysis and numerous data science processes. In doing so, readers become familiar with common Python libraries and straightforward scripting techniques.Python and many of its well-known data analysis libraries, such as Pandas, NumPy, and Matplotlib, are utilized throughout this book to carry out various operations typical of data analysis projects.Following an introduction to Python programming fundamentals, the book combines well-known numerical calculation and statistical libraries to demonstrate the fundamentals of programming, accompanied by many practical examples. This book provides a solid groundwork for data analysis by teaching Python programming as well as Python''s built-in data analysis capabilities.What you will learnLearn the fundamentals of core Python programming for data analysis.Master Python''s most demanding data analysis and visualization libraries, ... Unknown localization key: "more"

Objev podobné jako Data Analysis with Python - Rituraj Dixit

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 ... Unknown localization key: "more"

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

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"

Objev podobné jako Effective Data Storytelling - Brent Dykes

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"

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 ... Unknown localization key: "more"

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

Learn data science with Python by building five real-world projects! In Data Science Bookcamp you’ll test and build your knowledge of Python and learn to handle the kind of open-ended problems that professional data scientists work on daily. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career. about the technologyIn real-world practice, data scientists create innovative solutions to novel open ended problems. Easy to learn and use, the Python language has become the de facto language for data science amongst researchers, developers, and business users. But knowing a few basic algorithms is not enough to tackle a vague and thorny problem. It takes relentless practice at cracking difficult data tasks to achieve mastery in the field. That’s just what this book delivers. about the book Data Science Bookcamp is a comprehensive set of challenging projects carefully designed to grow your data science skills from novice to master. Veteran data scientist Leonard Apeltsin sets five increasingly difficult exercises that test your abilities against the kind of problems you’d encounter in the real world. As you solve each challenge, you’ll acquire and expand the ... Unknown localization key: "more"

Objev podobné jako Data Science Bookcamp - Leonard Apeltsin

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

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 ... Unknown localization key: "more"

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

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"

Objev podobné jako Building a Scalable Data Warehouse with Data Vault 2.0 - Daniel Linstedt, Michael Olschimke

In the age of big data, being able to make sense of data is an important key to success. Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and automatic computation to facilitate insight generation and knowledge crystallization from large and complex data.The book provides a systematic and comprehensive overview of visual, interactive, and analytical methods. It introduces criteria for designing interactive visual data analysis solutions, discusses factors influencing the design, and examines the involved processes. The reader is made familiar with the basics of visual encoding and gets to know numerous visualization techniques for multivariate data, temporal data, geo-spatial data, and graph data. A dedicated chapter introduces general concepts for interacting with visualizations and illustrates how modern interaction technology can facilitate the visual data analysis in many ways. Addressing today’s large and complex data, the book covers relevant automatic analytical computations to support the visual data analysis. The book also sheds light on advanced concepts for visualization in multi-display environments, user guidance during the data analysis, and progressive visual data analysis.The authors present a top-down perspective on interactive visual data analysis with a focus on concise and clean terminology. Many real-world examples and rich illustrations make the book ... Unknown localization key: "more"

Objev podobné jako Interactive Visual Data Analysis - Christian Tominski, Heidrun Schumann

With the advent of such advanced technologies as cloud computing, the Internet of Things, the Medical Internet of Things, the Industry Internet of Things and sensor networks as well as the exponential growth in the usage of Internet-based and social media platforms, there are enormous oceans of data. These huge volumes of data can be used for effective decision making and improved performance if analyzed properly. Due to its inherent characteristics, big data is very complex and cannot be handled and processed by traditional database management approaches. There is a need for sophisticated approaches, tools and technologies that can be used to store, manage and analyze these enormous amounts of data to make the best use of them.Big Data Concepts, Technologies, and Applications covers the concepts, technologies, and applications of big data analytics. Presenting the state-of-the-art technologies in use for big data analytics. it provides an in-depth discussion about the important sectors where big data analytics has proven to be very effective in improving performance and helping industries to remain competitive. This book provides insight into the novel areas of big data analytics and the research directions for the scholars working in the domain. Highlights include:The advantages, disadvantages and challenges ... Unknown localization key: "more"

Objev podobné jako Big Data Concepts, Technologies, and Applications - Mohammad Shahid Husain, Tamanna Siddiqui, Mohammad Zunnun Khan

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"

Objev podobné jako SQL for Data Scientists - Renee M. P. Teate

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"

Objev podobné jako Mastering Marketing Data Science - Iain Brown

Prepare for Microsoft Exam 70-767–and help demonstrate your real-world mastery of skills for managing data warehouses. This exam is intended for Extract, Transform, Load (ETL) data warehouse developers who create business intelligence (BI) solutions. Their responsibilities include data cleansing as well as ETL and data warehouse implementation. The reader should have experience installing and implementing a Master Data Services (MDS) model, using MDS tools, and creating a Master Data Manager database and web application. The reader should understand how to design and implement ETL control flow elements and work with a SQL Service Integration Services package. Focus on the expertise measured by these objectives: • Design, and implement, and maintain a data warehouse • Extract, transform, and load data • Build data quality solutionsThis Microsoft Exam Ref: • Organizes its coverage by exam objectives • Features strategic, what-if scenarios to challenge you • Assumes you have working knowledge of relational database technology and incremental database extraction, as well as experience with designing ETL control flows, using and debugging SSIS packages, accessing and importing or exporting data from multiple sources, and managing a SQL data warehouse. Implementing a SQL Data Warehouse About the Exam Exam 70-767 focuses on skills and knowledge ... Unknown localization key: "more"

Objev podobné jako Exam Ref 70-767 Implementing a SQL Data Warehouse - Jose Chinchilla, Raj Uchhana

Graphs are the natural way to understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with practical examples and concrete advice on implementation and deployment. In Graph Algorithms for Data Science you will learn: Labeled-property graph modeling Constructing a graph from structured data such as CSV or SQL NLP techniques to construct a graph from unstructured data Cypher query language syntax to manipulate data and extract insights Social network analysis algorithms like PageRank and community detection How to translate graph structure to a ML model input with node embedding models Using graph features in node classification and link prediction workflows Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. It''s filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs. You''ll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more. You don''t need any graph experience to start benefiting from this insightful guide. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects. about the technology Graphs reveal ... Unknown localization key: "more"

Objev podobné jako Graph Algorithms for Data Science - Bratanic Tomaz

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"

Objev podobné jako Data Mesh in Action - Marian Siwiak, Jacek Majchrzak, Sven Balnojan

The past two decades have seen an explosion both in the volume of data we use, and our understanding of its management.However, while techniques and technology for manipulating data have advanced rapidly in this time, the concepts around the value of our data have not. This lack of progress has made it increasingly difficult for organisations to understand the value in their data, the value of their data and how exploit that value. Halo Data proposes a paradigm shift in methodology for organisations to properly appreciate and leverage the value of their data. Written by an author team with many years’ experience in data strategy, management and technology, the book will first review the current state of our understanding of data. This opening will demonstrate the limitations of this status quo, including a discussion on metadata and its limitations, data monetisation and data-driven business models. Following this, the book will present a new concept and framework for understanding and quantifying value in an organisation’s data and a practical methodology for using this in practice.Ideal for data leaders and executives who are looking to leverage the data at their fingertips.

Objev podobné jako Halo Data - Peter Jackson, Caroline Carruthers

Written by over 120 data management practitioners, this is the most impressive compilation of data management principals and best practices, ever assembled. It provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure. The equivalent of the PMBOK or the BABOK, the DAMA-DMBOK provides information on: Data Governance; Data Architecture Management; Data Development; Database Operations Management; Data Security Management; Reference & Master Data Management; Data Warehousing & Business Intelligence Management; Document & Content Management; Meta Data Management; Data Quality Management; Professional Development. As an authoritative introduction to data management, the goals of the DAMA-DMBOK Guide are: To build consensus for a generally applicable view of data management functions; To provide standard definitions for commonly used data management functions, deliverables, roles, and other terminology; To document guiding principles for data management; To present a vendor-neutral overview to commonly accepted good practices, widely adopted methods and techniques, and significant alternative approaches; To clarify the scope and boundaries of data management; To act as a reference which guides readers to additional resources for further understanding.

Objev podobné jako DAMA-DMBOK Guide

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"

Objev podobné jako Data and Analytics for Instructional Designers - Megan Torrance

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 ... Unknown localization key: "more"

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

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.

Objev podobné jako Data Governance For Dummies - Jonathan Reichental

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, ... Unknown localization key: "more"

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

An Essential text on transforming raw data into concrete health care improvements Now in its second edition, The Health Care Data Guide: Learning from Data for Improvement delivers a practical blueprint for using available data to improve healthcare outcomes. In the book, a team of distinguished authors explores how health care practitioners, researchers, and other professionals can confidently plan and implement health care enhancements and changes, all while ensuring those changes actually constitute an improvement. This book is the perfect companion resource to The Improvement Guide: A Practical Approach to Enhancing Organizational Peformance, Second Edition, and offers fulsome discussions of how to use data to test, adapt, implement, and scale positive organizational change. The Health Care Data Guide: Learning from Data for Improvement, Second Edition provides: Easy to use strategies for learning more readily from existing health care data Clear guidance on the most useful graph for different types of data used in health care A step-by-step method for making use of highly aggregated data for improvement Examples of using patient-level data in care Multiple methods for making use of patient and other feedback data A vastly better way to view data for executive leadership Solutions for working with rare ... Unknown localization key: "more"

Objev podobné jako The Health Care Data Guide - Lloyd P. Provost, Sandra K. Murray

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 ... Unknown localization key: "more"

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 ... Unknown localization key: "more"

Objev podobné jako Data for All - John K. Thompson

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"

Objev podobné jako Thinking Clearly with Data - Anthony Fowler, Ethan Bueno de Mesquita

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

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.

Objev podobné jako Python for Data Science For Dummies - John Paul Mueller, Luca Massaron

Data-Driven Decisions: A Practical Toolkit for Library and Information Professionals is a simple, jargon-free guide to using data for decision making in library services. The book walks readers step-by-step through each stage of implementing, reviewing and embedding data-driven decisions in their organisation, providing accessible visualisations, top tips, and downloadable tools to support readers on their data journey. Starting with the absolute basics of using data, the author creates a framework for building skills and knowledge slowly until the reader is comfortable with even complex uses of data. The book begins with an exploration of the foundations of data-driven decisions in libraries including a look at the impact of the current financial climate on resources, theoretical foundations of data collection and analysis, and how this book can be used in practice. The next section takes readers through the data-driven decisions model, providing a guide for understanding and a manual for implementation of the model. Finally, the book provides further perspectives and reading surrounding analysis and implementation of data-driven decisions. This section aims to give supplementary and focused information on different areas of data-driven decisions which can be included in processes once the reader understands the foundation of the book from earlier ... Unknown localization key: "more"

Objev podobné jako Data-Driven Decisions - Amy Stubbing

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"

Objev podobné jako Visual Data Storytelling with Tableau - Lindy Ryan

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

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:● Showcases the excellent data science environment in Python.● Provides examples for readers to replicate, adapt, extend, and improve.● 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.

Objev podobné jako Geographic Data Science with Python - Dani Arribas-Bel, Sergio Rey, Levi John Wolf

All data are the result of human actions whether by experimentations, observations, or declarations. As such, the presumption of knowing what data are about is subject to imperfections that can affect the validity of research efforts. With calls for data-based research comes the need to assure the reliability of generated data. The reliability of converting texts into analyzable data has become a burning issue in several areas. However, this issue has been met by only a few limited, and sometimes misleading measures of the extent to which data can be trusted as surrogates of the phenomena of analytical interests. The statistic proposed by the author – "Krippendorff’s Alpha" – is widely used in the social sciences, not only where human judgements are involved but also where measurements are compared. The Reliability of Generating Data expands on the author’s seminal work in content analysis and develops methods for assessing the reliability of the kind of data that previously defied evaluations for this purpose. It opens with a discussion of the epistemology of reliable data, then presents the most basic alpha coefficient for the single-valued coding of predefined units. This largely familiar way of measuring reliability provides the platform for the succeeding ... Unknown localization key: "more"

Objev podobné jako The Reliability of Generating Data - Klaus Krippendorff