Jump-start your career as a data scientist—learn to develop datasets for exploration, analysis, and machine learningSQL 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.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."Gain an understanding of relational database structure, query design, and SQL syntaxDevelop queries to construct datasets for use in applications like interactive reports and machine learning algorithmsReview strategies and approaches so you can design analytical datasetsPractice your techniques with the provided database and SQL codeIn this book, author Renee Teate shares knowledge gained during a 15-year career working with data, in roles ranging from database developer to data analyst to data scientist. She guides you through SQL code and dataset design concepts from an industry practitioner’s perspective, moving your data scientist career forward!
✔ Author(s): Renee M. P. Teate
✔ Title: SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis
✔ Rating : 4.7 out of 5 base on (65 reviews)
✔ ISBN-10: 1119669367
✔ ISBN-13: 9781119669364
✔ Language: English
✔ Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
✔ Device compatibles: Android, iOS, PC and Amazon Kindle
Readers' opinions about SQL for Data Scientists by Renee M. P. Teate
Melody Blake
I'm still in awe of the intricate plot and the way everything seamlessly came together. The twists kept me guessing until the very end. It's one of those rare books that leave a lasting impact.
Virginia Savage
This book has reignited my passion for reading. It reminded me of the sheer joy that can be found in losing oneself in the pages of a good story. I can't wait to explore more books now.
Polly Hurlbutt
This book is a work of art. The language, the imagery, the symbolism - everything came together beautifully to create a memorable reading experience.
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