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SQL for Data Analysis: From Beginner Queries to Advanced Analytics Unlock the Power of Data with SQL
EGP 478
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Unlock the Power of Data with SQL and transform raw information into powerful business insights.
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Product Details
- Master the language of data and transform raw information into powerful business insights with SQL for Data Analysis. Whether you're a complete beginner or looking to elevate your SQL skills for advanced analytics, this hands-on guide will take you on a journey from foundational queries to sophisticated data manipulations and insights.Inside, you'll explore how to:Write clean, efficient SQL queries for real-world scenariosJoin, filter, aggregate, and transform datasets for deep insightsPerform cohort analysis, funnel tracking, and time-series reportingUse window functions, subqueries, and CTEs for complex analysisOptimize your queries for performance and scalabilityBuild analytics pipelines and dashboards with SQL at the coreWith practical examples, step-by-step walkthroughs, and business-driven case studies, this book is perfect for aspiring data analysts, BI professionals, and decision-makers who want to harness SQL to make smarter, data-backed decisions. Start your journey from simple SELECT statements to advanced analytics, and become fluent in the most in-demand skill in the data world.
| Publication date | August 28, 2025 |
| Language | English |
| File size | 627 KB |
| Screen Reader | Supported |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 139 pages |
| Page Flip | Enabled |
| Item Weight | 1 lbs (450 grams) |
Product Description
SQL for Data Analysis: From Beginner Queries to Advanced Analytics Unlock the Power of Data with SQL
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EGP 478
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Features & Benefits
- Master SQL from beginner to advanced level.
- Write efficient SQL queries for real-world applications.
- Learn data manipulation techniques for deep insights.
- Perform cohort analysis, funnel tracking, and time-series reporting.
- Optimize SQL queries for performance and scalability.
- Build analytics pipelines and dashboards centered around SQL.
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