Unlock the Power of Data — Master SQL for Data Science Success.
Whether you're breaking into data science or aiming to enhance your analytical skills, SQL (Structured Query Language) is the must-have tool for querying, managing, and analyzing data. This hands-on guide walks you through the core SQL concepts and real-world data challenges, empowering you to work confidently with databases and extract meaningful insights.
With step-by-step lessons, practical exercises, and real datasets, this book is ideal for beginners and professionals alike who want to bridge the gap between raw data and decision-making.
✅ Core SQL commands: SELECT, JOIN, GROUP BY, WHERE, ORDER BY
✅ Writing complex queries for real-world datasets
✅ Filtering, grouping, and aggregating data
✅ Subqueries, nested queries, and common table expressions (CTEs)
✅ Data cleaning and transformation techniques
✅ SQL functions for analytics (window functions, ranking, time-based queries)
✅ SQL for business intelligence and dashboards
✅ Connecting SQL to Python, Excel, and BI tools
✅ Best practices for writing efficient SQL
✅ Real-world projects: sales analysis, customer segmentation, and KPI tracking
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. Unlock the Power of Data - Master SQL for Data Science Success.Whether you're breaking into data science or aiming to enhance your analytical skills, SQL (Structured Query Language) is the must-have tool for querying, managing, and analyzing data. This hands-on guide walks you through the core SQL concepts and real-world data challenges, empowering you to work confidently with databases and extract meaningful insights.With step-by-step lessons, practical exercises, and real datasets, this book is ideal for beginners and professionals alike who want to bridge the gap between raw data and decision-making.What You'll Learn: Core SQL commands: SELECT, JOIN, GROUP BY, WHERE, ORDER BY Writing complex queries for real-world datasets Filtering, grouping, and aggregating data Subqueries, nested queries, and common table expressions (CTEs) Data cleaning and transformation techniques SQL functions for analytics (window functions, ranking, time-based queries) SQL for business intelligence and dashboards Connecting SQL to Python, Excel, and BI tools Best practices for writing efficient SQL Real-world projects: sales analysis, customer segmentation, and KPI tracking This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798288551543
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Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 50686333
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Paperback. Etat : new. Paperback. Unlock the Power of Data - Master SQL for Data Science Success.Whether you're breaking into data science or aiming to enhance your analytical skills, SQL (Structured Query Language) is the must-have tool for querying, managing, and analyzing data. This hands-on guide walks you through the core SQL concepts and real-world data challenges, empowering you to work confidently with databases and extract meaningful insights.With step-by-step lessons, practical exercises, and real datasets, this book is ideal for beginners and professionals alike who want to bridge the gap between raw data and decision-making.What You'll Learn: Core SQL commands: SELECT, JOIN, GROUP BY, WHERE, ORDER BY Writing complex queries for real-world datasets Filtering, grouping, and aggregating data Subqueries, nested queries, and common table expressions (CTEs) Data cleaning and transformation techniques SQL functions for analytics (window functions, ranking, time-based queries) SQL for business intelligence and dashboards Connecting SQL to Python, Excel, and BI tools Best practices for writing efficient SQL Real-world projects: sales analysis, customer segmentation, and KPI tracking This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798288551543
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