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SQL for data scientists[electronic resource] :a beginner's guide for building datasets for analysis /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	005.756
書名/作者:	SQL for data scientists : a beginner's guide for building datasets for analysis // Renée M. P. Teate.
作者:	Teate, Renée M. P.
出版者:	Hoboken, NJ : : Wiley,, c2021.
面頁冊數:	1 online resource (1 v.)
標題:	SQL (Computer program language)
標題:	Data sets.
ISBN:	9781119669388
ISBN:	1119669383
ISBN:	9781119669371
ISBN:	9781119669395
摘要、提要註:	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."
電子資源:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781119669388

SQL for data scientists[electronic resource] :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:

351101
SQL (Computer program language)

LC Class. No.: QA76.73.S67

Dewey Class. No.: 005.756

SQL for data scientists[electronic resource] :a beginner's guide for building datasets for analysis /
LDR:01783cmm a2200301 a 4500 001 522686
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006 m o d
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020 $a 9781119669388 $q (electronic bk. ; $q oBook)
020 $a 1119669383 $q (electronic bk. ; $q oBook)
020 $a 9781119669371 $q (electronic bk.)
020 $a 9781119669395 $q (electronic bk.)
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020 $z 1119669367
024 7 $a 10.1002/9781119669388 $2 doi
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040 $a DG1 $b eng $c DG1 $d DG1 $d OCLCO
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050 4 $a QA76.73.S67
082 0 4 $a 005.756 $2 23
100 1 $a Teate, Renée M. P. $3 747916
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 351101
650 0 $a Data sets. $3 747917
856 4 0 $u https://onlinelibrary.wiley.com/doi/book/10.1002/9781119669388

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