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{ "item_title" : "SQL Made Simple", "item_author" : [" V. L. Muller "], "item_description" : "In the Quick Guide to Data Science: SQL Made Simple, you will learn in a practical, clear, and accessible way how to query, filter, organize, summarize, and relate data using SQL, the most important language for working with relational databases in the professional world. This book is designed for beginners, students, analysts, managers, entrepreneurs, and career-changers who want to understand SQL without excessive technical jargon, building a solid foundation in tables, columns, filters, sorting, aggregate functions, groupings, and JOINs applied to real-world business, data analysis, and decision-making scenarios. Following the 10 minutes a day philosophy, the volume turns a topic often seen as difficult into a straightforward, instructive, and useful path for anyone who wants to gain autonomy in interpreting and exploring data.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/819/552/9798195526559_b.jpg", "price_data" : { "retail_price" : "7.00", "online_price" : "7.00", "our_price" : "7.00", "club_price" : "7.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
SQL Made Simple|V. L. Muller

SQL Made Simple : Consult better. Organize better. Decide better.

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Overview

In the Quick Guide to Data Science: SQL Made Simple, you will learn in a practical, clear, and accessible way how to query, filter, organize, summarize, and relate data using SQL, the most important language for working with relational databases in the professional world. This book is designed for beginners, students, analysts, managers, entrepreneurs, and career-changers who want to understand SQL without excessive technical jargon, building a solid foundation in tables, columns, filters, sorting, aggregate functions, groupings, and JOINs applied to real-world business, data analysis, and decision-making scenarios. Following the "10 minutes a day" philosophy, the volume turns a topic often seen as difficult into a straightforward, instructive, and useful path for anyone who wants to gain autonomy in interpreting and exploring data.

This item is Non-Returnable

Details

  • ISBN-13: 9798195526559
  • ISBN-10: 9798195526559
  • Publisher: Independently Published
  • Publish Date: May 2026
  • Dimensions: 9 x 6 x 0.12 inches
  • Shipping Weight: 0.2 pounds
  • Page Count: 58

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