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SQL for Data Scientists : A Beginner's Guide for Building Datasets for Analysis
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SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis
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SQL for Data Scientists : A Beginner's Guide for Building Datasets for Analysis
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SQL for Data Scientists A Beginner's Guide for Building Datasets for Analysis
Language: English
Published by John Wiley & Sons Inc, 2021
ISBN 10: 1119669367 ISBN 13: 9781119669364
Paperback. Condition: Brand New. 264 pages. 9.00x7.25x0.75 inches. In Stock.
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SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis
Language: English
Published by John Wiley & Sons Inc, 2021
ISBN 10: 1119669367 ISBN 13: 9781119669364
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SQL for Data Scientists A Beginner's Guide for Building Datasets for Analysis
Language: English
Published by John Wiley & Sons Inc, 2021
ISBN 10: 1119669367 ISBN 13: 9781119669364
Paperback. Condition: Brand New. 264 pages. 9.00x7.25x0.75 inches. In Stock.
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SQL for Data Scientists : A Beginner's Guide for Building Datasets for Analysis
Language: English
Published by Wiley John + Sons Nov 2021, 2021
ISBN 10: 1119669367 ISBN 13: 9781119669364
Taschenbuch. Condition: Neu. Neuware - 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 syntax\* Develop queries to construct datasets for use in applications like interactive reports and machine learning algorithms\* Review strategies and approaches so you can design analytical datasets\* Practice 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!
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Taschenbuch. Condition: Neu. SQL for Data Scientists | A Beginner's Guide for Building Datasets for Analysis | Renee M. P. Teate | Taschenbuch | 288 S. | Englisch | 2021 | Wiley John + Sons | EAN 9781119669364 | Verantwortliche Person für die EU: Wiley-VCH GmbH, Boschstr. 12, 69469 Weinheim, product-safety[at]wiley[dot]com | Anbieter: preigu.
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Condition: Gut. Zustand: Gut | Seiten: 288 | Sprache: Englisch | Produktart: Bücher | 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. 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 syntax - Develop queries to construct datasets for use in applications like interactive reports and machine learning algorithms - Review strategies and approaches so you can design analytical datasets - Practice your techniques with the provided database and SQL code In 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! .
