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Item #:
210326851
SQL for Data Analytics: Analyze data effectively, uncover insights and master advanced SQL for real-world applications
Item #:
210326851
€ 48
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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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What Stands Out
Comprehensive Coverage
This edition offers extensive coverage of SQL techniques tailored for data analytics, ensuring users can handle real-world datasets efficiently and effectively.
Hands-On Approach
Engage with practical exercises and real-world scenarios that enhance learning and application of advanced SQL skills for data-driven decision-making.
Expert Insights
Gain perspectives from industry experts that provide invaluable tips and strategies, making complex SQL concepts accessible and applicable to various analytical challenges.
Product Details
| 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?
-
Data Analysts
Ideal for analysts seeking to improve their SQL skills for deeper data insights and reporting.
-
Business Intelligence Experts
Perfect for BI professionals aiming to leverage SQL for effective data analysis in decision-making.
-
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.
Product Description
SQL for Data Analytics: Analyze data effectively, uncover insights and master advanced SQL for real-world applications
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€ 48
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Features & Benefits
- 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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