- Página de inicio /
- Libros /
- Computadoras y tecnología /
- Databases & Big Data /
- Data Mining /
- SQL for Data Analytics: Analyze data effectiv...
0 ratings
Nº de artículo:
210326851
SQL for Data Analytics: Analyze data effectively, uncover insights and master advanced SQL for real-world applications
Nº de artículo:
210326851
MXN 1146
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from Estados Unidos
0 ratings
Escriba una opinión
En stock
Importado de la tienda de EE.UU.
Haz tu pedido ahora y lo recibirás alrededor del Sunday, Julio 26
Transacción Segura
Ubuy trabaja arduamente para proteger tu seguridad y privacidad. Nuestro avanzado sistema de seguridad de pagos garantiza la confidencialidad al cifrar tu información durante la transmisión mediante los protocolos AES (Estándares de Cifrado Avanzado) y SSL (Capa de Conexión Segura). Tus datos de pago están 100% seguros, ya que no compartimos tu información de pago con vendedores externos.
Nuestros socios logísticos principales
This book prepares you to apply SQL in everyday business contexts, whether you're cleaning data, building dashboards, or presenting findings to stakeholders.
Fast
Shipping
Devolución
gratuita*
Empaque seguro
Productos 100% originales
PCI DSS Compliance
ISO 27001 Certified
Lo que Destaca
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.
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) |
¿Quién Debería Comprarlo?
-
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.
-
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
¿Tiene alguna pregunta? Chatea con nosotros
Preguntas y respuestas de los clientes
-
pregunta:
Who is this book intended for?
responder: This book is for aspiring data analysts, data engineers, backend developers, business analysts, and students with basic SQL familiarity. -
pregunta:
What will I learn from this book?
responder: You will learn advanced SQL techniques, data manipulation, statistical analysis, and how to create actionable insights from raw data. -
pregunta:
Do I need prior SQL experience?
responder: Yes, basic SQL familiarity is recommended to get the most out of this book.
Data Mining Editorial Review
**** SQL for Data Analytics (Fourth Edition) is a highly-regarded resource for those looking to deepen their understanding of SQL and its role in data analysis. This book is lauded for its structured and coherent approach, leading readers from foundational concepts to advanced applications in a logical progression that mirrors professional usage. Beginning with basic SQL techniques such as data manipulation, filtering, and joins, the authors gradually introduce more complex topics, including performance tuning and data types like JSON, ensuring that readers not only learn the syntax but also how to apply it in real-world scenarios. One of the standout features of this edition is its practicality. It places Considerable emphasis on how SQL contributes to decision-making processes—helping analysts recognize patterns, diagnose issues, and extract valuable insights from complex datasets. The case studies presented at the end of the book effectively encapsulate these principles, demonstrating SQL's practical applications in real business environments. While the book is particularly strong for beginners, equipping them with a robust foundation, it also serves as an excellent resource for seasoned professionals. Its focus on practical exercises that follow each concept aids in reinforcing learning and supports self-study. Importantly, the inclusion of integration with Python tools like SQLAlchemy and pandas broadens the book's applicability in modern data workflows where SQL is often just one part of the larger analytical toolkit. However, the book does have its limitations. It leans heavily on PostgreSQL syntax, which can pose challenges for readers working in other database environments like Snowflake or SQL Server. Suggestions for comparison or translations between different SQL dialects could enhance the book’s relevance in diverse setups. Additionally, modern tools and concepts such as dbt or advanced data modeling could be integrated to prepare readers for future developments in the field. Overall, SQL for Data Analytics is a valuable addition to the library of both budding data analysts and experienced practitioners seeking to refine their skills. Its accessible style, combined with practical applications and a focus on the conceptual underpinnings of SQL, makes it a must-read for anyone serious about working with data. **
Reseña y calificación de los clientes
1 calificaciones de los clientes
-
5 estrellas
100%
-
4 estrellas
0%
-
3 estrellas
0%
-
2 estrellas
0%
-
1 estrellas
0%
Reseñe este producto
Comparta su opinión con otros clientes
Ventajas
- Clear explanations of SQL fundamentals and advanced concepts.
- Emphasizes SQL's role in decision-making and data insights.
- Practical exercises following each concept reinforce understanding.
- Strong coverage of performance tuning and data processing techniques.
- Integrates concepts with Python for modern data workflows.
Desventajas
- Heavily focused on PostgreSQL; less useful for users of other SQL dialects.
Platform Trust & Buyer Confidence
MT
Mohd
Verified buyer
“The product received very good packaging & safe…Thank You”
16 June 2026 · via Trustpilot
SJ
Shawati
Verified buyer
“Accurate delivery timing given”
16 June 2026 · via Trustpilot
YB
Youcef
Verified buyer
“Not madly expensive like I thought, and much quicker than promised.”
15 June 2026 · via Trustpilot
LM
Leila
Verified buyer
“Never dealt with Ubuy before, but everything worked out great. Seamless cross border purchasing and shipping. Thanks!”
6/7/2026 · via Trustpilot
KA
Kwame
Verified buyer
“The process was smooth, with clear communication and timelines. This was my 1st purchase and I am really impressed. I will definitely be coming back.”
12 June 2026 · via Trustpilot
Pago seguro
Global Delivery
Easy Returns
Genuine Products
Historial de precios del producto
Información importante
- Limitaciones: Para los productos enviados al extranjero, ten en cuenta que cualquier garantía del fabricante puede no ser válida; las opciones de servicio del fabricante pueden no estar disponibles; los manuales del producto, las instrucciones y las advertencias de seguridad pueden no estar en los idiomas del país de destino; los productos (y los materiales que los acompañan) pueden no estar diseñados de acuerdo con las normas, especificaciones y requisitos de etiquetado del país de destino; y los productos pueden no ajustarse al voltaje del país de destino y a otras normas eléctricas (lo que requiere el uso de un adaptador o convertidor, si procede). El destinatario es responsable de asegurarse de que el producto puede ser importado legalmente al país de destino. Cuando hagas un pedido a Ubuy o a sus filiales, el destinatario es el importador registrado y debe cumplir todas las leyes y normativas del país de destino.
- No todos los productos que aparecen en Ubuy están a la venta, ya que Ubuy es un motor de búsqueda a nivel mundial. Los productos están sujetos a las normas de exportación/comercio.
MXN 1146
Haz tu pedido ahora y lo recibirás alrededor del Sunday, Julio 26
Este producto no está restringido en mi país. (Por favor haga click en el link de arriba si este producto no está restringido en su país, para que nuestro equipo pueda verificarlo y permitir la compra).
QTY:
Transacción Segura
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Nuestros socios logísticos principales
La más rápida entrega interfronteriza
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.
Ubuy Assurance
Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.