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SQL for data scientists = a beginner's guide for building datasets for analysis /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	SQL for data scientists/ Renée M. P. Teate.
Reminder of title:	a beginner's guide for building datasets for analysis /
Author:	Teate, Renée M. P.
Published:	Hoboken, NJ :Wiley, : c2021.,
Description:	1 online resource (1 v.)
Subject:	SQL (Computer program language) -
Online resource:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781119669388
ISBN:	9781119669388

SQL for data scientists = a beginner's guide for building datasets for analysis /
Teate, Renée M. P.

SQL for data scientistsa beginner's guide for building datasets for analysis /[electronic resource] :Renée M. P. Teate. - Hoboken, NJ :Wiley,c2021. - 1 online resource (1 v.)

SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that's dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most. Aspiring data scientists will learn how to how to construct datasets for exploration, analysis, and machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls. This guide for data scientists differs from other instructional guides on the subject. It doesn't cover SQL broadly. Instead, you'll learn the subset of SQL skills that data analysts and data scientists use frequently. You'll also gain practical advice and direction on "how to think about constructing your dataset."

ISBN: 9781119669388

Standard No.: 10.1002/9781119669388doiSubjects--Topical Terms:

561599
SQL (Computer program language)

LC Class. No.: QA76.73.S67

Dewey Class. No.: 005.756

SQL for data scientists = a beginner's guide for building datasets for analysis /
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245 1 0 $a SQL for data scientists $h [electronic resource] : $b a beginner's guide for building datasets for analysis / $c Renée M. P. Teate.
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300 $a 1 online resource (1 v.)
520 $a SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that's dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most. Aspiring data scientists will learn how to how to construct datasets for exploration, analysis, and machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls. This guide for data scientists differs from other instructional guides on the subject. It doesn't cover SQL broadly. Instead, you'll learn the subset of SQL skills that data analysts and data scientists use frequently. You'll also gain practical advice and direction on "how to think about constructing your dataset."
588 $a Description based on print version record.
650 0 $a SQL (Computer program language) $3 561599
650 0 $a Data sets. $3 1406606
856 4 0 $u https://onlinelibrary.wiley.com/doi/book/10.1002/9781119669388