| Description |
1 online resource (1 volume) |
| Summary |
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." |
| Subject |
SQL (Computer program language)
|
|
Data sets.
|
|
SQL (Langage de programmation) |
|
Jeux de données. |
|
Data sets |
|
SQL (Computer program language) |
| Other Form: |
Print version: Teate, Renee M. SQL for data scientists. Hoboken : John Wiley & Sons, Inc., 2021 9781119669364 (OCoLC)1268137031 |
| ISBN |
9781119669388 (electronic bk. ; oBook) |
|
1119669383 (electronic bk. ; oBook) |
|
9781119669395 (ePub ebook) |
|
1119669391 |
| Standard No. |
10.1002/9781119669388 doi |
|
More Resources