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SQL for Data Analysis: Advanced - Paperback, by Tanimura Cathy - Very Good
USD29,19
Aproximadamente25,12 EUR
Estado:
En muy buen estado
Libro que se ha leído y que no tiene un aspecto nuevo, pero que está en un estado excelente. No hay desperfectos visibles en la tapa y se incluye sobrecubierta, si procede, para las tapas duras. Todas las páginas están en perfecto estado, sin arrugas ni roturas y no falta ninguna. El texto no está subrayado ni resaltado de forma alguna, y no hay anotaciones en los márgenes. Puede presentar marcas de identificación mínimas en la contraportada o las guardas. Muy poco usado. Consulta el anuncio del vendedor para obtener más información y la descripción de cualquier posible imperfección.
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Gratis USPS Media MailTM.
Ubicado en: Philadelphia, Pennsylvania, Estados Unidos
Entrega:
Entrega prevista entre el vie. 17 oct. y el jue. 23 oct. a 94104
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N.º de artículo de eBay:126973083043
Última actualización el 13 oct 2025 10:28:44 H.EspVer todas las actualizacionesVer todas las actualizaciones
Características del artículo
- Estado
- Book Title
- SQL for Data Analysis: Advanced Techniques for Transforming Data
- ISBN
- 9781492088783
Acerca de este producto
Product Identifiers
Publisher
O'reilly Media, Incorporated
ISBN-10
1492088781
ISBN-13
9781492088783
eBay Product ID (ePID)
17050379040
Product Key Features
Number of Pages
357 Pages
Publication Name
Sql for Data Analysis : Advanced Techniques for Transforming Data Into Insights
Language
English
Publication Year
2021
Subject
Data Modeling & Design, General, Programming Languages / Sql, Databases / Data Mining
Type
Textbook
Subject Area
Mathematics, Computers
Format
Trade Paperback
Dimensions
Item Height
1.4 in
Item Weight
21.4 Oz
Item Length
9.2 in
Item Width
7 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2022-300024
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
005.75/65
Synopsis
With the explosion of data, computing power, and cloud data warehouses, SQL has become an even more indispensable tool for the savvy analyst or data scientist. 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. You'll learn how to use both common and exotic SQL functions such as joins, window functions, subqueries, and regular expressions in new, innovative ways--as well as how to combine SQL techniques to accomplish your goals faster, with understandable code. If you work with SQL databases, this is a must-have reference. Learn the key steps for preparing your data for analysis Perform time series analysis using SQL's date and time manipulations Use cohort analysis to investigate how groups change over time Use SQL's powerful functions and operators for text analysis Detect outliers in your data and replace them with alternate values Establish causality using experiment analysis, also known as A/B testing
LC Classification Number
QA76.73.S67
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