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SQL for Business Analysts Playbook: Turn Raw Data into Reports, Metrics, and Actionable Insights - Couverture souple
Synopsis
SQL for Business Analysts Playbook is a practical, business-first guide to using SQL to turn database records into reliable reports, KPIs, performance analysis, and actionable business insights.
Instead of teaching commands in isolation, this book shows you how professional analysis actually works: start with the business question, define what the metric means, understand the data grain, build the query carefully, validate the result, and communicate only what the evidence supports.
No previous programming experience is required.
Inside, you will learn how to:
- Translate stakeholder questions into measures, dimensions, populations, filters, and reporting periods
- Understand tables, primary keys, foreign keys, relationships, and data grain before calculating metrics
- Retrieve, filter, sort, and transform business data with practical SQL
- Build dependable KPIs using aggregation, grouping, ratios, percentages, and distinct counts
- Join multiple tables without accidentally duplicating revenue, customers, orders, or other measures
- Clean missing, inconsistent, and incorrectly formatted business data
- Analyze dates, reporting periods, fiscal calendars, time zones, and incomplete periods
- Organize complex analysis with subqueries, CTEs, views, and intermediate results
- Use window functions for rankings, running totals, rolling metrics, period comparisons, and Top-N analysis
- Investigate sales, revenue, products, regions, and performance changes
- Analyze customers, segments, conversion funnels, cohorts, retention, repeat purchasing, and churn
- Validate row counts, relationships, totals, assumptions, and reporting outputs before publishing results
- Build BI-friendly datasets that dashboards and other analysts can reuse confidently
- Understand important SQL portability differences across popular database platforms
Throughout the book, a consistent fictional business environment helps you apply new techniques to realistic commercial questions instead of disconnected syntax exercises.
The final capstone takes you from raw business tables to an executive-ready analytical report. You will define metrics, validate source data, analyze sales and customers, build funnel and retention analysis, compare results with targets, investigate major variances, reconcile the final numbers, and turn the evidence into useful business conclusions.
Whether you are an aspiring business analyst, spreadsheet user moving into databases, student, career switcher, working analyst, or SQL user who wants stronger business context, this playbook gives you a structured path from basic queries to analysis that other people can understand, verify, reuse, and trust.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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SQL for Business Analysts Playbook: Turn Raw Data into Reports, Metrics, and Actionable Insights
impression à la demandeVendeur : California Books, Miami, FL, Etats-Unis
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Etat : New. Print on Demand. N° de réf. du vendeur I-9798192434314
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SQL for Business Analysts Playbook
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798192434314
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SQL for Business Analysts Playbook
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798192434314
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SQL for Business Analysts Playbook : Turn Raw Data into Reports, Metrics, and Actionable Insights
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware - SQL for Business Analysts Playbook is a practical, business-first guide to using SQL to turn database records into reliable reports, KPIs, performance analysis, and actionable business insights.Instead of teaching commands in isolation, this book shows you how professional analysis actually works: start with the business question, define what the metric means, understand the data grain, build the query carefully, validate the result, and communicate only what the evidence supports.No previous programming experience is required.Inside, you will learn how to: - Translate stakeholder questions into measures, dimensions, populations, filters, and reporting periods- Understand tables, primary keys, foreign keys, relationships, and data grain before calculating metrics- Retrieve, filter, sort, and transform business data with practical SQL- Build dependable KPIs using aggregation, grouping, ratios, percentages, and distinct counts- Join multiple tables without accidentally duplicating revenue, customers, orders, or other measures- Clean missing, inconsistent, and incorrectly formatted business data- Analyze dates, reporting periods, fiscal calendars, time zones, and incomplete periods- Organize complex analysis with subqueries, CTEs, views, and intermediate results- Use window functions for rankings, running totals, rolling metrics, period comparisons, and Top-N analysis- Investigate sales, revenue, products, regions, and performance changes- Analyze customers, segments, conversion funnels, cohorts, retention, repeat purchasing, and churn- Validate row counts, relationships, totals, assumptions, and reporting outputs before publishing results- Build BI-friendly datasets that dashboards and other analysts can reuse confidently- Understand important SQL portability differences across popular database platformsThroughout the book, a consistent fictional business environment helps you apply new techniques to realistic commercial questions instead of disconnected syntax exercises.The final capstone takes you from raw business tables to an executive-ready analytical report. You will define metrics, validate source data, analyze sales and customers, build funnel and retention analysis, compare results with targets, investigate major variances, reconcile the final numbers, and turn the evidence into useful business conclusions.Whether you are an aspiring business analyst, spreadsheet user moving into databases, student, career switcher, working analyst, or SQL user who wants stronger business context, this playbook gives you a structured path from basic queries to analysis that other people can understand, verify, reuse, and trust. N° de réf. du vendeur 9798192434314
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EUR 26,31
Expédition à EUR 35
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
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SQL for Business Analysts Playbook (Paperback)
impression à la demandeVendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. SQL for Business Analysts Playbook is a practical, business-first guide to using SQL to turn database records into reliable reports, KPIs, performance analysis, and actionable business insights.Instead of teaching commands in isolation, this book shows you how professional analysis actually works: start with the business question, define what the metric means, understand the data grain, build the query carefully, validate the result, and communicate only what the evidence supports.No previous programming experience is required.Inside, you will learn how to: Translate stakeholder questions into measures, dimensions, populations, filters, and reporting periodsUnderstand tables, primary keys, foreign keys, relationships, and data grain before calculating metricsRetrieve, filter, sort, and transform business data with practical SQLBuild dependable KPIs using aggregation, grouping, ratios, percentages, and distinct countsJoin multiple tables without accidentally duplicating revenue, customers, orders, or other measuresClean missing, inconsistent, and incorrectly formatted business dataAnalyze dates, reporting periods, fiscal calendars, time zones, and incomplete periodsOrganize complex analysis with subqueries, CTEs, views, and intermediate resultsUse window functions for rankings, running totals, rolling metrics, period comparisons, and Top-N analysisInvestigate sales, revenue, products, regions, and performance changesAnalyze customers, segments, conversion funnels, cohorts, retention, repeat purchasing, and churnValidate row counts, relationships, totals, assumptions, and reporting outputs before publishing resultsBuild BI-friendly datasets that dashboards and other analysts can reuse confidentlyUnderstand important SQL portability differences across popular database platformsThroughout the book, a consistent fictional business environment helps you apply new techniques to realistic commercial questions instead of disconnected syntax exercises.The final capstone takes you from raw business tables to an executive-ready analytical report. You will define metrics, validate source data, analyze sales and customers, build funnel and retention analysis, compare results with targets, investigate major variances, reconcile the final numbers, and turn the evidence into useful business conclusions.Whether you are an aspiring business analyst, spreadsheet user moving into databases, student, career switcher, working analyst, or SQL user who wants stronger business context, this playbook gives you a structured path from basic queries to analysis that other people can understand, verify, reuse, and trust. 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 9798192434314
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EUR 24,83
Expédition à EUR 43,54
Expédition depuis Royaume-Uni vers Etats-Unis
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