You're reading from SQL for Data Analytics

Product typeBook

Published inAug 2019

Reading LevelIntermediate

PublisherPackt

ISBN-139781789807356

Edition1st Edition

Languages

SQL

Tools

PostgreSQL

Concepts

Data Analysis

Authors (3):

Upom Malik

Matt Goldwasser

Benjamin Johnston

View More author details

Introduction

Data has fundamentally transformed the 21st century. Thanks to easy access to computers, companies and organizations have been able to change the way they work with larger and more complex datasets. Using data, insights that would have been virtually impossible to find 50 years ago can now be found with just a few lines of computer code. In this chapter, we will discuss what data is and how data analysis can be used to unlock insights and recognize patterns.

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SQL for Data Analytics

Published in: Aug 2019Publisher: PacktISBN-13: 9781789807356

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Authors (3)

Upom Malik

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 about Upom Malik

Matt Goldwasser

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.
Read more about Matt Goldwasser

Benjamin Johnston

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 about Benjamin Johnston

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