Publication:
SQL for Data Scientists : A Beginner's Guide for Building Datasets for Analysis
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Abstract
Jump-start your career as a data scientist—learn to develop datasets for exploration, analysis, and machine learning 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. You may be one of many people who are entering the field of Data Science from a range of professions and educational backgrounds, such as business analytics, social science, physics, economics, and computer science. Like many of them, you may have conducted analyses using spreadsheets as data sources, but never retrieved and engineered datasets from a relational database using SQL, which is a programming language designed for managing databases and extracting data.
Description
Authors
Teate, Renee M. P.
Alternate Authors
Advisor
Place of publication
Newark
Publisher
Wiley
Date
2021
Journal ISSN
Volume Title
Keywords
SQL , Computer program language , Data Science , Data Analytics
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