SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis

SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that teaches aspiring data scientists how to construct datasets for exploration, analysis, and machine learning. It covers the Structured Query Language (SQL) and dataset design skills that data scientists use most, and provides practical advice and direction on how to think about constructing your dataset.

Format: Paperback / softback
Length: 288 pages
Publication date: 15 November 2021
Publisher: John Wiley & Sons Inc

Jump-start your career as a data scientist and unlock the power of SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis! This comprehensive resource is dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists rely on most. Whether you're aspiring to become a data scientist or looking to enhance your data analysis capabilities, this guide will empower you to create datasets for exploration, analysis, and machine learning.

Are you one of the many individuals who are transitioning into the field of Data Science from diverse professions and educational backgrounds, such as business analytics, social science, physics, economics, and computer science? Like many of your peers, you may have previously conducted analyses using spreadsheets as data sources, but have yet to retrieve and engineer datasets from a relational database using SQL, a programming language specifically designed for managing databases and extracting data.

This guide for data scientists stands apart from other instructional resources in its focus. It doesn't cover SQL in a broad sense. Instead, you'll delve into the subset of SQL skills that data analysts and data scientists frequently employ. You'll also gain valuable insights and guidance on how to approach constructing your dataset.

Gain a deep understanding of relational database structure, query design, and SQL syntax. Develop queries that will enable you to construct datasets for applications like interactive reports and machine learning algorithms. Review strategies and approaches to design analytical datasets that can provide valuable insights. Practice your techniques using the provided database and SQL code.

In this book, author Renee Teate, with a 15-year career in data science, shares her knowledge and expertise. She has worked with leading organizations, including Microsoft and Amazon, and has contributed to the development of popular data analysis tools.

So, whether you're a beginner or an experienced data professional, SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is the perfect resource to take your data analysis skills to the next level. Unleash the power of SQL and unlock the hidden treasures within your data!

Weight: 482g
Dimension: 187 x 231 x 18 (mm)
ISBN-13: 9781119669364