SQL for Data Analysis: Advanced Techniques for Transforming Data Into Insights (Paperback)
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This practical book reveals new and hidden ways to improve your SQL skills, solve problems, and make the most of SQL as part of your workflow.
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Podrobnosti produkta
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | October, 2021 |
| Pages | 357 |
| Reading level | Professional and Scholarly |
| Subgenre | Computers |
| Edition | 1 edition |
| Publisher | O'Reilly Media |
| Original languages | English |
| Language | English |
| Awards won | None |
| Is collectible | N |
| Editor | Alexander R. Vaccaro, Maxwell Boakye |
| Assembled product height | 9 in |
| Assembled product weight | 1.2 lb (540 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
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Data Analysts
This book offers advanced SQL techniques that help data analysts extract meaningful insights from complex datasets.
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Business Intelligence Professionals
Ideal for BI professionals aiming to enhance their data querying skills and improve decision-making processes through insights.
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Students of Data Science
Perfect for data science students looking to deepen their understanding of SQL in data analysis and transformation techniques.
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Beginner SQL Users
Not suitable for beginners, as the book focuses on advanced techniques that may overwhelm those unfamiliar with SQL.
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SQL for Data Analysis: Advanced Techniques for Transforming Data Into Insights (Paperback)
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Cathy Tanimura All Books Editorial Review
SQL for Data Analysis: Advanced Techniques for Transforming Data Into Insights is a comprehensive guide designed for professionals and scholars seeking to enhance their skills in data manipulation and analysis. This paperback edition, published by O'Reilly Media in October 2021, spans 357 pages and covers advanced SQL techniques crucial for transforming raw data into actionable insights. Readers appreciate the book's clarity and practical examples, making it both informative and applicable to real-world situations. The focus on non-fiction within the computing genre ensures that it meets the standards expected by professionals aiming for growth in data analysis.
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Prednosti
- Comprehensive insights into SQL data analysis
- Practical examples enhance learning
- Ideal for professional development
- First edition published by a reputable publisher
- Well-structured for advanced users
Slabosti
- May be complex for beginners
Product Price History
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Značilnosti in prednosti
- Enhance your SQL skills for deeper data insights.
- Learn innovative uses of SQL functions like joins and window functions.
- Master time series and cohort analysis techniques.
- Utilize powerful SQL functions for effective text analysis.
- Identify and manage outliers in your data.
- Establish causality through experiment analysis (A/B testing).
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