{"product_id":"9781836646242","title":"SQL for Data Analytics: Analyze data effectively, uncover insights and master advanced SQL for real-world applications","description":"\u003cb\u003eLevel 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.\u003c\/b\u003e\u003cp\u003e\u003c\/p\u003eFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003cul\u003e\n\u003cli\u003eSolve real business problems with advanced SQL techniques\u003c\/li\u003e\n\u003cli\u003eWork with time-series, geospatial, and text data using PostgreSQL\u003c\/li\u003e\n\u003cli\u003eBuild job-ready data analysis skills with hands-on SQL projects\u003c\/li\u003e\n\u003cli\u003ePurchase of the print or Kindle book includes a free PDF eBook\u003c\/li\u003e\n\u003c\/ul\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003eSQL 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. \u003cp\u003e\u003c\/p\u003eSQL 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. \u003cp\u003e\u003c\/p\u003eYou'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. \u003cp\u003e\u003c\/p\u003e*Email sign-up and proof of purchase required\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003cul\u003e\n\u003cli\u003eWrite SQL Queries to explore and analyze structured data.\u003c\/li\u003e\n\u003cli\u003eUse JOINs, subqueries, views, and CTEs to build analytics-ready datasets\u003c\/li\u003e\n\u003cli\u003eApply window functions to identify trends, patterns, and cohort behavior\u003c\/li\u003e\n\u003cli\u003ePerform statistical analysis and hypothesis testing directly in SQL\u003c\/li\u003e\n\u003cli\u003eAnalyze JSON, arrays, text, geospatial, and time-series data\u003c\/li\u003e\n\u003cli\u003eImprove SQL performance with indexing strategies and query plan optimization\u003c\/li\u003e\n\u003cli\u003eLoad data with Python and automate analytics workflows\u003c\/li\u003e\n\u003cli\u003eComplete a full case study simulating a real-world data analysis project\u003c\/li\u003e\n\u003c\/ul\u003e\u003cstrong\u003eWho this book is for\u003c\/strong\u003e\u003cp\u003eThis 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. \u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":47145806889201,"sku":"9781836646242","price":39.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9781836646242_p0.jpg?v=1765921776","url":"https:\/\/shop.barnesandnoble.com\/products\/9781836646242","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}