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The Applied SQL Data Analytics Workshop - Second Edition

You're reading from  The Applied SQL Data Analytics Workshop - Second Edition

Product type Book
Published in Feb 2020
Publisher Packt
ISBN-13 9781800203679
Pages 484 pages
Edition 2nd Edition
Languages
Concepts
Authors (3):
Matt Goldwasser Matt Goldwasser
Profile icon Matt Goldwasser
LinkedIn
Matt Goldwasser is the Head of Applied Data Science at the T. Rowe Price NYC Technology Development Center. Prior to his current role, Matt was a data science manager at OnDeck, and prior to that, he was an analyst at Millennium Management. Matt holds a bachelor of science in mechanical and aerospace engineering from Cornell University.
See other products by Matt Goldwasser
Upom Malik Upom Malik
Profile icon Upom Malik
LinkedIn
Upom Malik is a data science and analytics leader who has worked in the technology industry for over 8 years. He has a master's degree in chemical engineering from Cornell University and a bachelor's degree in biochemistry from Duke University. As a data scientist, Upom has overseen efforts across machine learning, experimentation, and analytics at various companies across the United States. He uses SQL and other tools to solve interesting challenges in finance, energy, and consumer technology. Outside of work, he likes to read, hike the trails of the Northeastern United States, and savor ramen bowls from around the world.
See other products by Upom Malik
Benjamin Johnston Benjamin Johnston
Profile icon Benjamin Johnston
LinkedIn
Benjamin Johnston is a senior data scientist for one of the world's leading data-driven MedTech companies and is involved in the development of innovative digital solutions throughout the entire product development pathway, from problem definition to solution research and development, through to final deployment. He is currently completing his Ph.D. in machine learning, specializing in image processing and deep convolutional neural networks. He has more than 10 years of experience in medical device design and development, working in a variety of technical roles, and holds first-class honors bachelor's degrees in both engineering and medical science from the University of Sydney, Australia.
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Table of Contents (9) Chapters

Preface
1. Introduction to SQL for Analytics 2. SQL for Data Preparation 3. Aggregate and Window Functions 4. Importing and Exporting Data 5. Analytics Using Complex Data Types 6. Performant SQL 7. The Scientific Method and Applied Problem Solving Appendix

3. Aggregate and Window Functions

Overview

In this chapter, you will learn the conceptual logic of aggregation and window functions, write SQL to execute these functions, and modify them using keywords such as HAVING and GROUP BY.

By the end of this chapter, you will be able to apply these functions to gain new insights into data and understand the properties of datasets, such as data quality.

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Authors (3)

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Profile icon Matt Goldwasser
LinkedIn
Matt Goldwasser is the Head of Applied Data Science at the T. Rowe Price NYC Technology Development Center. Prior to his current role, Matt was a data science manager at OnDeck, and prior to that, he was an analyst at Millennium Management. Matt holds a bachelor of science in mechanical and aerospace engineering from Cornell University.
See other products by Matt Goldwasser
Profile icon Upom Malik
LinkedIn
Upom Malik is a data science and analytics leader who has worked in the technology industry for over 8 years. He has a master's degree in chemical engineering from Cornell University and a bachelor's degree in biochemistry from Duke University. As a data scientist, Upom has overseen efforts across machine learning, experimentation, and analytics at various companies across the United States. He uses SQL and other tools to solve interesting challenges in finance, energy, and consumer technology. Outside of work, he likes to read, hike the trails of the Northeastern United States, and savor ramen bowls from around the world.
Read more
See other products by Upom Malik
Profile icon Benjamin Johnston
LinkedIn
Benjamin Johnston is a senior data scientist for one of the world's leading data-driven MedTech companies and is involved in the development of innovative digital solutions throughout the entire product development pathway, from problem definition to solution research and development, through to final deployment. He is currently completing his Ph.D. in machine learning, specializing in image processing and deep convolutional neural networks. He has more than 10 years of experience in medical device design and development, working in a variety of technical roles, and holds first-class honors bachelor's degrees in both engineering and medical science from the University of Sydney, Australia.
Read more
See other products by Benjamin Johnston
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