[PDF] Pivot Tables In Excel And Visualization In Tableau Public - eBooks Review

Pivot Tables In Excel And Visualization In Tableau Public


Pivot Tables In Excel And Visualization In Tableau Public
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Pivot Tables In Excel And Visualization In Tableau Public


Pivot Tables In Excel And Visualization In Tableau Public
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Author : ARNEL LOPEZ CADELINA
language : en
Publisher: ARNEL LOPEZ CADELIÑA
Release Date : 2025-07-17

Pivot Tables In Excel And Visualization In Tableau Public written by ARNEL LOPEZ CADELINA and has been published by ARNEL LOPEZ CADELIÑA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-17 with Education categories.


Master data analysis and visualization with ease! This ebook guides you through creating powerful pivot tables in Excel and designing stunning dashboards in Tableau Public. Perfect for beginners and professionals alike, it simplifies complex data tasks into clear, actionable steps—helping you turn raw data into meaningful insights



Hands On Data Visualization


Hands On Data Visualization
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Author : Jack Dougherty
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-03-11

Hands On Data Visualization written by Jack Dougherty and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-11 with Business & Economics categories.


Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public. You'll also gradually learn how to edit open source code templates like Chart.js, Highcharts, and Leaflet on GitHub. Hands-On Data Visualization takes you step-by-step through tutorials, real-world examples, and online resources. This practical guide is ideal for students, nonprofit organizations, small business owners, local governments, journalists, academics, and anyone who wants to take data out of spreadsheets and turn it into lively interactive stories. No coding experience is required. Build interactive charts and maps and embed them in your website Understand the principles for designing effective charts and maps Learn key data visualization concepts to help you choose the right tools Convert and transform tabular and spatial data to tell your data story Edit and host Chart.js, Highcharts, and Leaflet map code templates on GitHub Learn how to detect bias in charts and maps produced by others



Clinical Analytics And Data Management For The Dnp


Clinical Analytics And Data Management For The Dnp
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Author : Martha L. Sylvia
language : en
Publisher: Springer Publishing Company
Release Date : 2023-01-18

Clinical Analytics And Data Management For The Dnp written by Martha L. Sylvia and has been published by Springer Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-18 with Medical categories.


Praise for the first edition: "DNP students may struggle with data management, since their projects are not research but quality improvement, and this book covers the subject well. I recommend it for DNP students for use during their capstone projects." Score: 98, 5 Stars -- Doody's Medical Reviews This unique text and reference—the only book to address the full spectrum of clinical data management for the DNP student—instills a fundamental understanding of how clinical data is gathered, used, and analyzed, and how to incorporate this data into a quality DNP project. The new third edition is updated to reflect changes in national health policy such as quality measurements, bundled payments for specialty care, and Advances to the Affordable Care Act (ACA) and evolving programs through the Centers for Medicare and Medicaid Services (CMS). The third edition reflects the revision of 2021 AACN Essentials and provides data sets and other examples in Excel and SPSS format, along with several new chapters. This resource takes the DNP student step-by-step through the complete process of data management, from planning through presentation, clinical applications of data management that are discipline-specific, and customization of statistical techniques to address clinical data management goals. Chapters are brimming with descriptions, resources, and exemplars that are helpful to both faculty and students. Topics spotlight requisite competencies for DNP clinicians and leaders such as phases of clinical data management, statistics and analytics, assessment of clinical and economic outcomes, value-based care, quality improvement, benchmarking, and data visualization. A progressive case study highlights multiple techniques and methods throughout the text. New to the Third Edition: New Chapter: Using EMR Data for the DNP Project New chapter solidifies link between EBP and Analytics for the DNP project New chapter highlights use of workflow mapping to transition between current and future state, while simultaneously visualizing process measures needed to ensure success of the DNP project Includes more examples to provide practical application exercises for students Key Features: Disseminates robust strategies for using available data from everyday practice to support trustworthy evaluation of outcomes Uses multiple tools to meet data management objectives [SPSS, Excel®, Tableau] Presents case studies to illustrate multiple techniques and methods throughout chapters Includes specific examples of the application and utility of these techniques using software that is familiar to graduate nursing students Offers real world examples of completed DNP projects Provides Instructor’s Manual, PowerPoint slides, data sets in SPSS and Excel, and forms for completion of data management and evaluation plan



Big Data Concepts Methodologies Tools And Applications


Big Data Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2016-04-20

Big Data Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-20 with Computers categories.


The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.



Marketing Analytics Using Excel


Marketing Analytics Using Excel
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Author : Rahul Pratap Singh Kaurav
language : en
Publisher: SAGE Publications Limited
Release Date : 2025-03-15

Marketing Analytics Using Excel written by Rahul Pratap Singh Kaurav and has been published by SAGE Publications Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-15 with Business & Economics categories.


Marketing Analytics Using Excel is the essential introduction to data-driven marketing, which simplifies complex concepts and offers practical, real-world applications. This comprehensive yet accessible guide encourages an in-depth understanding of marketing analytics, from fundamental topics and basic Excel functions to more advanced topics such as AI and predictive analytics. Packed with practical examples and easy-to-follow, fully worked problems which demonstrate how theoretical concepts are applied in real-world situations, this book also includes: • Industry case studies from leading companies like Zappos, Amazon, Netflix, and Spotify, providing insights into how marketing analytics is applied in various industries. • Exercises, activities and discussion questions to reinforce learning. • A focus on open access tools and career prospects which encourages readers to develop further. This no-nonsense guide minimises the intimidation factor of complex formulas and instead focuses on practical, real-world applications, making it essential reading for Marketing students and anyone looking to upskill. Dr Rahul Pratap Singh Kaurav is Associate Professor at FORE School of Management, New Delhi, India. Dr Asha Thomas is an Assistant Professor at Wroclaw University of Science and Technology (WUST), Poland.



A Socially Just Classroom Transdisciplinary Approaches To Teaching Writing Across The Humanities


A Socially Just Classroom Transdisciplinary Approaches To Teaching Writing Across The Humanities
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Author : Kristin Coffey
language : en
Publisher: Vernon Press
Release Date : 2022-08-16

A Socially Just Classroom Transdisciplinary Approaches To Teaching Writing Across The Humanities written by Kristin Coffey and has been published by Vernon Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-16 with Education categories.


This edited collection provides a range of transdisciplinary approaches to the teaching of writing across the Humanities through the lens of inclusion and equity in higher education. In three parts - From Disciplinary Practice to Transdisciplinary Application, The Collective We: Transparent Pedagogy in Praxis, Power in Presence: From Chalkboard to Pavement - the chapters focus on teaching triumphs and challenges, specific learning objectives and best practices, theories and their applications, and concrete examples of campus action within specific institutional or socio-historical contexts. In whole, the book represents what a socially just classroom looks like from first-year university writing classes, to advanced graduate studies, and the impact of learning beyond the university. Building on the scholarship of equity in higher education, the book forefronts transdisciplinary pedagogies with chapters representing language and literature, creative writing, cultural and ethnic studies, women and gender studies, and media studies. While we understand social justice as a multifaceted and ever expanding effort, we affirm the essential role of classroom instructors as the foundational actors in cultivating and sustaining inclusion and equity. We also acknowledge the current challenges of teaching brought on by the COVID-19 pandemic, which intensifies previously existing issues surrounding housing, employment, healthcare, and the legal residency status of many students. By fostering a conversation around writing pedagogy in a comparative and transdisciplinary context, we encourage educators to translate the resources available in their fields in a collective effort to close the equity gaps. At the same time, we intend for this book to provide a context where younger faculty and diverse students can redefine the college classroom while empowering each other within their chosen institutions.



What S Past Is Prologue


What S Past Is Prologue
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Author : Beth R. Bernhardt
language : en
Publisher: Purdue University Press
Release Date : 2018-11-15

What S Past Is Prologue written by Beth R. Bernhardt and has been published by Purdue University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-15 with Language Arts & Disciplines categories.


Over one hundred presentations from the 37th annual Charleston Library Conference (held November 6–10, 2017) are included in this annual proceedings volume. Major themes of the meeting included data visualization, analysis and assessment of collections and library users, demand-driven acquisition, the future of print collections, and open access publishing. While the Charleston meeting remains a core one for acquisitions librarians in dialog with publishers and vendors, the breadth of coverage of this volume reflects the fact that this conference continues to be one of the major venues for leaders in the publishing and library communities to shape strategy and prepare for the future. Almost 2,000 delegates attended the 2017 meeting, ranging from the staff of small public library systems to the CEOs of major corporations. This fully indexed, copyedited volume provides a rich source for the latest evidence-based research and lessons from practice in a range of information science fields. The contributors are leaders in the library, publishing, and vendor communities.



Research Methods In Library And Information Science


Research Methods In Library And Information Science
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Author : Lynn Silipigni Connaway
language : en
Publisher: Bloomsbury Publishing USA
Release Date : 2021-05-24

Research Methods In Library And Information Science written by Lynn Silipigni Connaway and has been published by Bloomsbury Publishing USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-24 with Language Arts & Disciplines categories.


The seventh edition of this frequently adopted textbook features new or expanded sections on social justice research, data analysis software, scholarly identity research, social networking, data science, and data visualization, among other topics. It continues to include discipline experts' voices. The revised seventh edition of this popular text provides instruction and guidance for professionals and students in library and information science who want to conduct research and publish findings, as well as for practicing professionals who want a broad overview of the current literature. Providing a broad introduction to research design, the authors include principles, data collection techniques, and analyses of quantitative and qualitative methods, as well as advantages and limitations of each method and updated bibliographies. Chapters cover the scientific method, sampling, validity, reliability, and ethical concerns along with quantitative and qualitative methods. LIS students and professionals will consult this text not only for instruction on conducting research but also for guidance in critically reading and evaluating research publications, proposals, and reports. As in the previous edition, discipline experts provide advice, tips, and strategies for completing research projects, dissertations, and theses; writing grants; overcoming writer's block; collaborating with colleagues; and working with outside consultants. Journal and book editors discuss how to publish and identify best practices and understudied topics, as well as what they look for in submissions.



Data Scientist Diploma Master S Level City Of London College Of Economics 6 Months 100 Online Self Paced


Data Scientist Diploma Master S Level City Of London College Of Economics 6 Months 100 Online Self Paced
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Author : City of London College of Economics
language : en
Publisher: City of London College of Economics
Release Date :

Data Scientist Diploma Master S Level City Of London College Of Economics 6 Months 100 Online Self Paced written by City of London College of Economics and has been published by City of London College of Economics this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.


Overview This diploma course covers all aspects you need to know to become a successful Data Scientist. Content - Getting Started with Data Science - Data Analytic Thinking - Business Problems and Data Science Solutions - Introduction to Predictive Modeling: From Correlation to Supervised Segmentation - Fitting a Model to Data - Overfitting and Its Avoidance - Similarity, Neighbors, and Clusters Decision Analytic Thinking I: What Is a Good Model? - Visualizing Model Performance - Evidence and Probabilities - Representing and Mining Text - Decision Analytic Thinking II: Toward Analytical Engineering - Other Data Science Tasks and Techniques - Data Science and Business Strategy - Machine Learning: Learning from Data with Your Machine. - And much more Duration 6 months Assessment The assessment will take place on the basis of one assignment at the end of the course. Tell us when you feel ready to take the exam and we’ll send you the assignment questions. Study material The study material will be provided in separate files by email / download link.



Data Science For Dummies


Data Science For Dummies
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Author : Lillian Pierson
language : en
Publisher: John Wiley & Sons
Release Date : 2017-02-21

Data Science For Dummies written by Lillian Pierson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-21 with Computers categories.


Discover how data science can help you gain in-depth insight into your business - the easy way! Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles. Data Science For Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, reading this book will help you understand what technologies, programming languages, and mathematical methods on which to focus. While this book serves as a wildly fantastic guide through the broad, sometimes intimidating field of big data and data science, it is not an instruction manual for hands-on implementation. Here’s what to expect: Provides a background in big data and data engineering before moving on to data science and how it's applied to generate value Includes coverage of big data frameworks like Hadoop, MapReduce, Spark, MPP platforms, and NoSQL Explains machine learning and many of its algorithms as well as artificial intelligence and the evolution of the Internet of Things Details data visualization techniques that can be used to showcase, summarize, and communicate the data insights you generate It's a big, big data world out there—let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.