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SQL for Data Analytics: Analyze data effectively, uncover insights and master advanced SQL for real-world applications
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SQL for Data Analytics: Analyze data effectively, uncover insights and master advanced SQL for real-world applications
This book prepares you to apply SQL in everyday business contexts, whether you're cleaning data, building dashboards, or presenting findings to stakeholders.
SQL for Data Analytics: Analyze data effectively, uncover insights and master advanced SQL for real-world applications
Toote nr: 210326851

SQL for Data Analytics: Analyze data effectively, uncover insights and master advanced SQL for real-world applications

Toote nr: 210326851

€ 48

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This book prepares you to apply SQL in everyday business contexts, whether you're cleaning data, building dashboards, or presenting findings to stakeholders.
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What Stands Out

Comprehensive Coverage
This edition offers extensive coverage of SQL techniques tailored for data analytics, ensuring users can handle real-world datasets efficiently and effectively.
Hands-On Approach
Engage with practical exercises and real-world scenarios that enhance learning and application of advanced SQL skills for data-driven decision-making.
Expert Insights
Gain perspectives from industry experts that provide invaluable tips and strategies, making complex SQL concepts accessible and applicable to various analytical challenges.

Toote üksikasjad

Shop SQL for Data Analytics: Analyze data effectively, uncover insights and master advanced SQL for real-world applications online at a best price in Estonia. 1836646259
  • Level up from basic SQL to advanced, analytics-grade data analysis and use real PostgreSQL datasets, modern features, and practical business scenarios to turn raw data into clear, actionable insights. Key FeaturesSolve real business problems with advanced SQL techniquesWork with time-series, geospatial, and text data using PostgreSQLBuild job-ready data analysis skills with hands-on SQL projectsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionSQL remains one of the most essential tools for modern data analysis and mastering it can set you apart in a competitive data landscape. This book helps you go beyond basic query writing to develop a deep, practical understanding of how SQL powers real-world decision-making. SQL for Data Analytics, Fourth Edition, is for anyone who wants to go beyond basic SQL syntax and confidently analyze real-world data. Whether you're trying to make sense of production data for the first time or upgrading your analytics toolkit, this book gives you the skills to turn data into actionable outcomes. You'll start by creating and managing structured databases before advancing to data retrieval, transformation, and summarization. From there, you’ll take on more complex tasks such as window functions, statistical operations, and analyzing geospatial, time-series, and text data. With hands-on exercises, case studies, and detailed guidance throughout, this book prepares you to apply SQL in everyday business contexts, whether you're cleaning data, building dashboards, or presenting findings to stakeholders. By the end, you'll have a powerful SQL toolkit that translates directly to the work analysts do every day. What you will learnWrite SQL Queries to explore and analyze structured data.Use JOINs, subqueries, views, and CTEs to build analytics-ready datasetsApply window functions to identify trends, patterns, and cohort behaviorPerform statistical analysis and hypothesis testing directly in SQLAnalyze JSON, arrays, text, geospatial, and time-series dataImprove SQL performance with indexing strategies and query plan optimizationLoad data with Python and automate analytics workflowsComplete a full case study simulating a real-world data analysis projectWho this book is forThis book is for aspiring and early-career data analysts, data engineers, backend developers, business analysts, and students who want to apply SQL to real-world data analytics. You should have basic SQL familiarity and college-level math knowledge, along with the desire to advance toward analytics-grade SQL, data transformation, pattern discovery, and business insight generation. Table of ContentsIntroduction to Data Management SystemsCreating Tables with Solid StructuresExchanging Data Using COPYManipulating Data with PythonPresenting Data with SELECTTransforming and Updating DataDefining Datasets from Existing DatasetsAggregating Data with GROUP BYInter-Row Operation with Window FunctionsPerformant SQLProcessing JSON and ArraysAdvanced Data Types: Date, Text, and GeospatialInferential Statistics Using SQLA Case Study for Analytics Using SQL
Publisher Packt Publishing
Publication date November 21, 2025
Edition 4th ed.
Language English
Print length 336 pages
ISBN-10 1836646259
ISBN-13 978-1836646259
Item Weight 1.27 pounds (580 grams)
Dimensions 7.5 x 0.76 x 9.25 inches (19.1 x 1.9 x 23.5 cm)

Who Should Buy?

Suitable For
  • Data Analysts

    Ideal for analysts seeking to improve their SQL skills for deeper data insights and reporting.

  • Business Intelligence Experts

    Perfect for BI professionals aiming to leverage SQL for effective data analysis in decision-making.

  • Technical Students

    Beneficial for students pursuing data science or analytics courses needing advanced SQL knowledge.

Not Suitable For
  • Beginners

    Not suitable for those with no prior SQL knowledge; the content may be too advanced.

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€ 48

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Omadused ja eelised

  • Level up from basic SQL to advanced data analysis skills.
  • Utilize real PostgreSQL datasets and modern features.
  • Hands-on projects to build job-ready data analysis capabilities.
  • Learn to analyze structured, geospatial, and time-series data.
  • Gain practical experience with case studies and exercises.
  • Perfect for aspiring data analysts and early-career professionals.

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