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paperback. Condition: Good.
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Condition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
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Paperback or Softback. Condition: New. SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis. Book.
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SQL for Data Scientists (Paperback)
Language: English
Published by John Wiley & Sons Inc, New York, 2021
ISBN 10: 1119669367 ISBN 13: 9781119669364
Paperback. Condition: new. Paperback. Jump-start your career as a data scientistlearn 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 thats 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 doesnt cover SQL broadly. Instead, youll learn the subset of SQL skills that data analysts and data scientists use frequently. Youll 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 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 practitioners perspective, moving your data scientist career forward! Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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SQL for Data Scientists
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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SQL for Data Scientists
Language: English
Published by John Wiley and Sons Inc, US, 2021
ISBN 10: 1119669367 ISBN 13: 9781119669364
Paperback. Condition: New. 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 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 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!
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SQL for Data Scientists
Language: English
Published by John Wiley and Sons Inc, US, 2021
ISBN 10: 1119669367 ISBN 13: 9781119669364
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. 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 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 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!
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Condition: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
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SQL for Data Scientists : A Beginner's Guide for Building Datasets for Analysis
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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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
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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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
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
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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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Add to basketPaperback. Condition: Brand New. 264 pages. 9.00x7.25x0.75 inches. In Stock.
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Sql for Data Scientists
Language: English
Published by John Wiley & Sons 2020-12-07, 2020
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
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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
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SQL for Data Scientists (Paperback)
Language: English
Published by John Wiley & Sons Inc, New York, 2021
ISBN 10: 1119669367 ISBN 13: 9781119669364
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Add to basketPaperback. Condition: new. Paperback. Jump-start your career as a data scientistlearn 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 thats 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 doesnt cover SQL broadly. Instead, youll learn the subset of SQL skills that data analysts and data scientists use frequently. Youll 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 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 practitioners perspective, moving your data scientist career forward! Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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