SQL for Data Scientists

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Jump-start your career as a data scientist by learning to develop datasets for exploration, analysis, and machine learning. This resource focuses on Structured Query Language (SQL) and dataset design skills essential for data scientists. Aspiring professionals will learn to construct datasets for various applications while mastering query design and SQL coding to extract data insights effectively, avoiding common pitfalls. Many entering the field come from diverse backgrounds, including business analytics, social science, physics, economics, and computer science, and may have previously relied on spreadsheets for analysis. Unlike other guides, this one zeroes in on the specific SQL skills frequently used by data analysts and scientists. It provides practical advice on how to think about dataset construction, covering relational database structure, query design, and SQL syntax. Readers will learn to develop queries for applications like interactive reports and machine learning algorithms, along with strategies for designing analytical datasets. With hands-on practice using provided databases and SQL code, this guide, authored by Renee Teate—who brings 15 years of industry experience—equips you with the knowledge and skills to advance your data science career.