SQL for Data Analytics
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Home > Computing and Information Technology Books > Computer programming / software engineering > Programming and scripting languages: general > SQL for Data Analytics: A Practical Beginner's Guide to Querying, Cleaning, and Analyzing Business Data
SQL for Data Analytics: A Practical Beginner's Guide to Querying, Cleaning, and Analyzing Business Data

SQL for Data Analytics: A Practical Beginner's Guide to Querying, Cleaning, and Analyzing Business Data


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About the Book

SQL for Data Analytics: A Practical Beginner's Guide to Querying, Cleaning, and Analyzing Business Data

Data drives modern businesses, but raw data alone does not create value. Organizations collect massive amounts of information every day, yet many professionals struggle to turn that data into clear, actionable insights. If you want to understand how businesses truly analyze data, the skill you need to master first is SQL.

SQL for Data Analytics is a practical, beginner friendly guide designed to help you confidently work with real business data. Whether you are an aspiring data analyst, a business professional, or a student entering the world of analytics, this book shows you how to move from raw datasets to meaningful insights using structured and practical SQL techniques.

Unlike many technical books that focus only on theory, this guide takes a hands-on approach to learning SQL. You will start by understanding how databases store information and how SQL retrieves and organizes that data. As you progress, you will learn how to clean messy datasets, structure query results, and build powerful analytical queries used in real-world data analysis.

Each chapter builds your skills step by step, combining clear explanations with practical SQL examples that help you apply what you learn immediately. Instead of overwhelming you with unnecessary complexity, the book focuses on the SQL techniques that analysts actually use when working with business data.

Inside this book, you will learn how to:

  • Understand how databases store and organize data
  • Write SQL queries to retrieve and filter information
  • Sort, group, and aggregate large datasets efficiently
  • Combine multiple tables using SQL joins
  • Clean and standardize messy data using SQL functions
  • Analyze business performance through sales and customer data
  • Build analytical reports and performance metrics
  • Optimize SQL queries for better performance
  • Apply SQL in real-world analytics projects
  • Follow an end-to-end data analytics workflow used by professionals

The book also includes practical analytics projects that demonstrate how SQL can be used to analyze sales trends, identify high-value customers, and generate insights that support business decision-making.

By the end of this guide, you will not just understand SQL syntax. You will understand how analysts actually use SQL to solve business problems. You will gain the confidence to explore datasets, uncover patterns, and build queries that produce meaningful insights.

Whether your goal is to start a career in data analytics, improve your technical skills, or simply become more comfortable working with data, this book provides the practical foundation you need.

If you have ever looked at a dataset and wondered how professionals turn it into valuable insights, this book will show you exactly how it is done.

Start building real SQL skills today and learn how to transform raw data into powerful business insights.


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Product Details
  • ISBN-13: 9798258666840
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 279 mm
  • No of Pages: 148
  • Returnable: N
  • Sub Title: A Practical Beginner's Guide to Querying, Cleaning, and Analyzing Business Data
  • Width: 216 mm
  • ISBN-10: 8258666843
  • Publisher Date: 24 Apr 2026
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 8 mm
  • Weight: 412 gr


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