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SQL for Data Analytics: Analyze data effectively, uncover insights and master advanced SQL for real-world applications
90% of respondents would recommend this to a friend
CRC 28243
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This book prepares you to apply SQL in everyday business contexts, whether you're cleaning data, building dashboards, or presenting findings to stakeholders.
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Detalles de producto
| Publisher | Packt Publishing |
| Publication date | November 21, 2025 |
| Edition | 4th ed. |
| Language | English |
| Print length | 336 pages |
| ISBN-10 | 1836646259 |
| ISBN-13 | 978-1836646259 |
| Item Weight | 1.27 pounds (580 grams) |
| Dimensions | 7.5 x 0.76 x 9.25 inches (19.1 x 1.9 x 23.5 cm) |
Who Should Buy?
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Data Analysts
Ideal for analysts seeking to improve their SQL skills for deeper data insights and reporting.
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Business Intelligence Experts
Perfect for BI professionals aiming to leverage SQL for effective data analysis in decision-making.
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Technical Students
Beneficial for students pursuing data science or analytics courses needing advanced SQL knowledge.
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Beginners
Not suitable for those with no prior SQL knowledge; the content may be too advanced.
DESCRIPCIÓN DEL PRODUCTO
SQL for Data Analytics: Analyze data effectively, uncover insights and master advanced SQL for real-world applications
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Data Mining Editorial Review
SQL for Data Analytics: Analyze data effectively, uncover insights and master advanced SQL for real-world applications offers a comprehensive guide for anyone looking to enhance their SQL skills. The 4th edition, published by Packt Publishing, spans 336 pages and is designed to help readers analyze data effectively and uncover valuable insights through practical, real-world applications. This edition is written in English and is perfect for both beginners and seasoned data analysts eager to advance their SQL capabilities. The book's structured approach and detailed explanations ensure that learners gain mastery of SQL, ultimately enhancing their data analytics proficiency.
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ventajas
- Comprehensive guide for mastering advanced SQL techniques
- Suitable for both beginners and experienced analysts
- Practical applications help uncover valuable insights
- Structured approach enhances learning efficiency
- Detailed explanations make complex concepts easier
Contras
- Might require prior knowledge of basic SQL concepts
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CRC 28243
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características y beneficios
- Level up from basic SQL to advanced data analysis skills.
- Utilize real PostgreSQL datasets and modern features.
- Hands-on projects to build job-ready data analysis capabilities.
- Learn to analyze structured, geospatial, and time-series data.
- Gain practical experience with case studies and exercises.
- Perfect for aspiring data analysts and early-career professionals.
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