Developer Editorial (10 results)

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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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Taschenbuch. Condition: Neu. Neuware.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: new. Paperback. Learn HTML5 the right way: by building web pages that are structured, accessible, responsive, and ready for real-world web development.HTML is easy to start, but difficult to use well. Many beginners memorize tags, copy code from tutorials, or rush into CSS, JavaScript, and frameworks before they understand what a strong web page is actually made of. The result is a page that may appear on screen but has weak structure, unclear headings, poor accessibility, confusing forms, broken links, missing metadata, and fragile code.HTML5 That Works teaches modern HTML from first principles. Instead of treating HTML as a simple tag list, this self-learning course shows you how to think like a careful web author. You will learn how browsers read pages, how elements create meaning, how semantic markup improves structure, how forms build user trust, and how accessibility begins directly in the HTML.Inside, you will learn how to: Build clean HTML documents from scratchUnderstand elements, attributes, nesting, links, paths, and imagesUse semantic HTML for stronger page structureCreate accessible headings, labels, forms, images, and navigationConnect HTML with CSS foundations and responsive designUnderstand the DOM and how JavaScript interacts with HTMLValidate, debug, inspect, and improve your pagesBuild a multipage starter website and final portfolio-style capstone projectThis book is designed for self-learners, students, career changers, designers, entrepreneurs, and beginners preparing for front-end development. The teaching style is clear, warm, practical, and step by step. Each chapter includes real web situations, common mistakes, To-Do Points, key takeaways, and guided practice so you are not only reading about HTML-you are learning how to use it.If you want a strong foundation before CSS, JavaScript, React, WordPress, or full-stack development, this book gives you the structure, habits, and confidence to begin.Start with one blank file. Finish with a working website. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. Data Analytics Foundations is a practical beginner's textbook for learners who want to understand data analytics from the ground up and use it with confidence in school, business, and career settings.This book is designed for independent learners, college students, career changers, business professionals, and anyone who wants a clear path into data analysis without getting lost in scattered tutorials. Instead of teaching tools as isolated tricks, it explains the full analytics workflow: asking better questions, collecting useful data, cleaning messy datasets, exploring patterns, using statistics responsibly, building visualizations, creating dashboards, interpreting results, and communicating insights for better decisions.Inside, readers learn the core skills behind modern data analytics, including spreadsheet thinking, Excel analysis habits, SQL querying, Python and pandas foundations, descriptive statistics, probability, sampling, regression, visualization design, dashboard planning, data ethics, model evaluation, and analytics project workflow. Each chapter is built like a guided learning experience, with clear explanations, worked examples, key ideas, common mistakes, practice tasks, reflection prompts, and applied project connections.The book is especially useful for beginners who want to move beyond memorizing commands. Readers learn how analysts think: how to define a business problem, identify the right variables, question data quality, choose useful charts, compare groups, spot misleading averages, avoid weak conclusions, and turn analysis into a decision-ready recommendation. The goal is not only to "use data," but to understand what the data can and cannot prove.Data Analytics Foundations also supports learners preparing for entry-level data analyst, business analyst, operations analyst, marketing analyst, and reporting roles. It introduces the language employers expect: metrics, KPIs, joins, filters, grouping, aggregation, missing values, outliers, distributions, correlation, regression, classification, dashboards, stakeholder questions, data governance, and ethical decision-making.Readers will practice how to: Build an analytics question before touching the datasetClean and organize data for trustworthy analysisUse Excel-style thinking for quick investigationUnderstand SQL queries for filtering, grouping, joining, and summarizing dataUse Python concepts for reproducible analysisApply statistics without overcomplicating the mathCreate charts that explain instead of decorateDesign dashboards around real decisionsEvaluate simple predictive models carefullyCommunicate findings in plain, professional languageComplete a capstone-style analytics project from question to recommendationThis textbook is written in a mature, step-by-step style for real learning. It avoids shallow shortcuts and focuses on durable foundations: the habits, vocabulary, methods, and judgment that make analytics useful in the real world.Whether you are starting a data analytics course, building career skills, preparing for a data analyst portfolio, or trying to understand how organizations use data to make decisions, Data Analytics Foundations gives you a structured, practical path from beginner knowledge to confident applied analysis. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.