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SQL Programming for Data Analysis: A Practical Guide to Querying, Filtering, Joining, Grouping, and Analyzing Data to Find Insights and Make Better Decisions - Softcover
Inhaltsangabe
How do data analysts turn thousands of database records into useful answers? How can SQL help you identify trends, compare performance, analyze customers, and uncover patterns hidden inside raw data?
SQL Programming for Data Analysis is a practical guide to using SQL as an analytical tool. Rather than focusing only on database programming or memorizing commands, this book shows you how to use SQL to ask meaningful questions, explore datasets, calculate useful metrics, and turn stored information into insights.
You'll begin with the fundamentals of analytical SQL, including tables, columns, data types, and SELECT statements. From there, you'll learn how to filter and sort information, calculate totals and averages, group related records, combine multiple tables, and build increasingly useful analytical queries.
Inside this guide, you'll discover:
- How SQL fits into the data analysis process
- How tables, rows, columns, and data types affect analysis
- How to retrieve the information you need with SELECT
- How to filter records with WHERE
- How to sort and limit analytical results
- How to calculate totals, averages, counts, minimums, and maximums
- How to group data and compare different categories
- How GROUP BY and HAVING help answer analytical questions
- How to combine related datasets with JOIN
- How to create calculated values inside queries
- How to work with dates and analyze changes over time
- How to use subqueries and Common Table Expressions
- How window functions can provide deeper analytical comparisons
- How SQL can help identify missing, duplicate, or unusual data
- How to calculate practical KPIs and performance metrics
- How to analyze customers, products, sales, marketing, expenses, and operations
- How to turn ordinary business questions into structured SQL queries
- How to move from raw database records to useful findings
Whether you're an aspiring data analyst, business analyst, marketer, finance professional, entrepreneur, operations professional, researcher, student, or someone who regularly works with business data, this guide provides a practical foundation for using SQL to find answers.
You don't need to memorize hundreds of SQL commands. You need to understand the data, ask the right question, and know how to build a query that helps you answer it.
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Paperback. Zustand: new. Paperback. How do data analysts turn thousands of database records into useful answers? How can SQL help you identify trends, compare performance, analyze customers, and uncover patterns hidden inside raw data?SQL Programming for Data Analysis is a practical guide to using SQL as an analytical tool. Rather than focusing only on database programming or memorizing commands, this book shows you how to use SQL to ask meaningful questions, explore datasets, calculate useful metrics, and turn stored information into insights.You'll begin with the fundamentals of analytical SQL, including tables, columns, data types, and SELECT statements. From there, you'll learn how to filter and sort information, calculate totals and averages, group related records, combine multiple tables, and build increasingly useful analytical queries.Inside this guide, you'll discover: How SQL fits into the data analysis processHow tables, rows, columns, and data types affect analysisHow to retrieve the information you need with SELECTHow to filter records with WHEREHow to sort and limit analytical resultsHow to calculate totals, averages, counts, minimums, and maximumsHow to group data and compare different categoriesHow GROUP BY and HAVING help answer analytical questionsHow to combine related datasets with JOINHow to create calculated values inside queriesHow to work with dates and analyze changes over timeHow to use subqueries and Common Table ExpressionsHow window functions can provide deeper analytical comparisonsHow SQL can help identify missing, duplicate, or unusual dataHow to calculate practical KPIs and performance metricsHow to analyze customers, products, sales, marketing, expenses, and operationsHow to turn ordinary business questions into structured SQL queriesHow to move from raw database records to useful findingsWhether you're an aspiring data analyst, business analyst, marketer, finance professional, entrepreneur, operations professional, researcher, student, or someone who regularly works with business data, this guide provides a practical foundation for using SQL to find answers.You don't need to memorize hundreds of SQL commands. You need to understand the data, ask the right question, and know how to build a query that helps you answer it. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798240804946
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Paperback. Zustand: new. Paperback. How do data analysts turn thousands of database records into useful answers? How can SQL help you identify trends, compare performance, analyze customers, and uncover patterns hidden inside raw data?SQL Programming for Data Analysis is a practical guide to using SQL as an analytical tool. Rather than focusing only on database programming or memorizing commands, this book shows you how to use SQL to ask meaningful questions, explore datasets, calculate useful metrics, and turn stored information into insights.You'll begin with the fundamentals of analytical SQL, including tables, columns, data types, and SELECT statements. From there, you'll learn how to filter and sort information, calculate totals and averages, group related records, combine multiple tables, and build increasingly useful analytical queries.Inside this guide, you'll discover: How SQL fits into the data analysis processHow tables, rows, columns, and data types affect analysisHow to retrieve the information you need with SELECTHow to filter records with WHEREHow to sort and limit analytical resultsHow to calculate totals, averages, counts, minimums, and maximumsHow to group data and compare different categoriesHow GROUP BY and HAVING help answer analytical questionsHow to combine related datasets with JOINHow to create calculated values inside queriesHow to work with dates and analyze changes over timeHow to use subqueries and Common Table ExpressionsHow window functions can provide deeper analytical comparisonsHow SQL can help identify missing, duplicate, or unusual dataHow to calculate practical KPIs and performance metricsHow to analyze customers, products, sales, marketing, expenses, and operationsHow to turn ordinary business questions into structured SQL queriesHow to move from raw database records to useful findingsWhether you're an aspiring data analyst, business analyst, marketer, finance professional, entrepreneur, operations professional, researcher, student, or someone who regularly works with business data, this guide provides a practical foundation for using SQL to find answers.You don't need to memorize hundreds of SQL commands. You need to understand the data, ask the right question, and know how to build a query that helps you answer it. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798240804946
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Paperback. Zustand: new. Paperback. How do data analysts turn thousands of database records into useful answers? How can SQL help you identify trends, compare performance, analyze customers, and uncover patterns hidden inside raw data?SQL Programming for Data Analysis is a practical guide to using SQL as an analytical tool. Rather than focusing only on database programming or memorizing commands, this book shows you how to use SQL to ask meaningful questions, explore datasets, calculate useful metrics, and turn stored information into insights.You'll begin with the fundamentals of analytical SQL, including tables, columns, data types, and SELECT statements. From there, you'll learn how to filter and sort information, calculate totals and averages, group related records, combine multiple tables, and build increasingly useful analytical queries.Inside this guide, you'll discover: How SQL fits into the data analysis processHow tables, rows, columns, and data types affect analysisHow to retrieve the information you need with SELECTHow to filter records with WHEREHow to sort and limit analytical resultsHow to calculate totals, averages, counts, minimums, and maximumsHow to group data and compare different categoriesHow GROUP BY and HAVING help answer analytical questionsHow to combine related datasets with JOINHow to create calculated values inside queriesHow to work with dates and analyze changes over timeHow to use subqueries and Common Table ExpressionsHow window functions can provide deeper analytical comparisonsHow SQL can help identify missing, duplicate, or unusual dataHow to calculate practical KPIs and performance metricsHow to analyze customers, products, sales, marketing, expenses, and operationsHow to turn ordinary business questions into structured SQL queriesHow to move from raw database records to useful findingsWhether you're an aspiring data analyst, business analyst, marketer, finance professional, entrepreneur, operations professional, researcher, student, or someone who regularly works with business data, this guide provides a practical foundation for using SQL to find answers.You don't need to memorize hundreds of SQL commands. You need to understand the data, ask the right question, and know how to build a query that helps you answer it. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9798240804946
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SQL Programming for Data Analysis : A Practical Guide to Querying, Filtering, Joining, Grouping, and Analyzing Data to Find Insights and Make Better Decisions
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - How do data analysts turn thousands of database records into useful answers How can SQL help you identify trends, compare performance, analyze customers, and uncover patterns hidden inside raw data SQL Programming for Data Analysis is a practical guide to using SQL as an analytical tool. Rather than focusing only on database programming or memorizing commands, this book shows you how to use SQL to ask meaningful questions, explore datasets, calculate useful metrics, and turn stored information into insights.You'll begin with the fundamentals of analytical SQL, including tables, columns, data types, and SELECT statements. From there, you'll learn how to filter and sort information, calculate totals and averages, group related records, combine multiple tables, and build increasingly useful analytical queries.Inside this guide, you'll discover:How SQL fits into the data analysis processHow tables, rows, columns, and data types affect analysisHow to retrieve the information you need with SELECTHow to filter records with WHEREHow to sort and limit analytical resultsHow to calculate totals, averages, counts, minimums, and maximumsHow to group data and compare different categoriesHow GROUP BY and HAVING help answer analytical questionsHow to combine related datasets with JOINHow to create calculated values inside queriesHow to work with dates and analyze changes over timeHow to use subqueries and Common Table ExpressionsHow window functions can provide deeper analytical comparisonsHow SQL can help identify missing, duplicate, or unusual dataHow to calculate practical KPIs and performance metricsHow to analyze customers, products, sales, marketing, expenses, and operationsHow to turn ordinary business questions into structured SQL queriesHow to move from raw database records to useful findingsWhether you're an aspiring data analyst, business analyst, marketer, finance professional, entrepreneur, operations professional, researcher, student, or someone who regularly works with business data, this guide provides a practical foundation for using SQL to find answers.You don't need to memorize hundreds of SQL commands. You need to understand the data, ask the right question, and know how to build a query that helps you answer it. Bestandsnummer des Verkäufers 9798240804946
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