國立高雄大學圖資館 |

Language: English

Back

SQL for data scientistsa beginner's guide for building datasets for analysis /

Record Type:	Electronic resources : Monograph/item
Title/Author:	SQL for data scientistsRenée 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$q(electronic bk. ;$qoBook)

SQL for data scientistsa 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$q(electronic bk. ;$qoBook)

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

189402
SQL (Computer program language)

LC Class. No.: QA76.73.S67

Dewey Class. No.: 005.756

SQL for data scientistsa beginner's guide for building datasets for analysis /
LDR:01783cmm a2200301 a 4500 001 627296
003 OCoLC
005 20211029090527.0
006 m o d
007 cr cnu---unuuu
008 230118s2021 nju o 000 0 eng d
020 $a 9781119669388$q(electronic bk. ;$qoBook)
020 $a 1119669383$q(electronic bk. ;$qoBook)
020 $a 9781119669371$q(electronic bk.)
020 $a 9781119669395$q(electronic bk.)
020 $z 9781119669364
020 $z 1119669367
024 7 $a 10.1002/9781119669388 $2 doi
035 $a 1269508290
040 $a DG1 $b eng $c DG1 $d DG1 $d OCLCO
041 0 $a eng
050 4 $a QA76.73.S67
082 0 4 $a 005.756 $2 23
100 1 $a Teate, Renée M. P. $3 931347
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.
260 $a Hoboken, NJ : $b Wiley, $c c2021.
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 189402
650 0 $a Data sets. $3 877092
856 4 0 $u https://onlinelibrary.wiley.com/doi/book/10.1002/9781119669388