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Autor(en): 
  • Sydney Greyfield
  • Data Processing Made Simple: The Complete Beginner-to-Advanced Guide to Collecting, Cleaning, Transforming, and Automating Data for Smarter Decisions 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  Juli 2026  
    Genre:  EDV / Informatik 
     
    COMPUTERS / Data Modeling & Design / COMPUTERS / Data Processing / COMPUTERS / Information Theory
    ISBN:  9798189071096 
    EAN-Code: 
    9798189071096 
    Verlag:  Independently Published 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 229 mm / B 152 mm / D 4 mm 
    Gewicht:  111 gr 
    Seiten:  72 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Turn Raw Data Into Clear, Reliable Insights

    Every business, organization, and research project depends on one essential skill: transforming raw data into accurate, meaningful information. Before data can be analyzed, visualized, or used for decision-making, it must first be processed correctly.

    Data Processing Mastery for Beginners is a practical, step-by-step guide that teaches you how to collect, clean, organize, validate, transform, and manage data with confidence. Designed for complete beginners, this book gradually builds your knowledge from the fundamentals to advanced concepts using clear explanations, real-world examples, and hands-on exercises.

    No programming experience or computer science degree is required. If you can use a spreadsheet, you already have the foundation to begin.

    What You'll Learn:

    Inside this comprehensive guide, you'll discover how to:

    • Collect reliable data from forms, surveys, sensors, APIs, and other everyday sources.
    • Clean messy datasets by correcting duplicates, missing values, and formatting errors.
    • Validate information to improve accuracy and reduce costly mistakes.
    • Sort, filter, and organize data for faster, better decision-making.
    • Work confidently with common file formats, including CSV, JSON, and XML.
    • Understand the fundamentals of ETL (Extract, Transform, Load) workflows.
    • Automate repetitive data processing tasks while maintaining accuracy.
    • Explore big data concepts explained in simple, beginner-friendly language.
    • Apply essential data security, privacy, and compliance best practices.
    • Design scalable data workflows for personal, academic, or business projects.
    Learn by Doing

    This book emphasizes practical learning. Each chapter includes:

    • Clear, easy-to-follow explanations.
    • Real-world examples that connect concepts to everyday situations.
    • Chapter summaries highlighting key takeaways.
    • Practical exercises to reinforce your understanding.
    • A capstone project that guides you through building a complete data processing workflow from start to finish.
    Who This Book Is For

    Whether you're:

    • A student exploring careers in technology or data,
    • A business professional working with reports and spreadsheets,
    • A small business owner seeking better insights from your data,
    • Or simply curious about how modern data systems work,

    this book provides the knowledge and practical skills to help you process data more effectively and make better-informed decisions.

    Build a Strong Foundation for Data Success

    The ability to process data is one of today's most valuable professional skills. By mastering the fundamentals, you'll be better prepared for data analysis, business intelligence, analytics, and many other data-driven disciplines.

    Start building your confidence with data-one practical step at a time.

      
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