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The Applied SQL Data Analytics Workshop

You're reading from The Applied SQL Data Analytics Workshop Develop your practical skills and prepare to become a professional data analyst

Product type Paperback

Published in Feb 2020

Publisher Packt

ISBN-13 9781800203679

Length 484 pages

Edition 2nd Edition

Languages

SQL

Tools

Anaconda

Concepts

Data Analysis

Authors (3):

Upom Malik

Benjamin Johnston

Matt Goldwasser

View More author details

Table of Contents (9) Chapters

Preface

1. Introduction to SQL for Analytics

2. SQL for Data Preparation FREE CHAPTER

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

Case Study

Throughout this chapter, we will cover the following case study. The new ZoomZoom Bat Scooter is now available for sale exclusively through its website. Sales are looking good, but suddenly, preorders start plunging by 20% after a couple of weeks. What's going on? As the best data analyst at ZoomZoom, you've been assigned to figure this out.

The Scientific Method

In this case study, we will be following the scientific method to help solve our problem, which, at its heart, is about testing guesses (or hypotheses) using objectively collected data. We can decompose the scientific method into the following key steps:

Define the question to answer what caused the drop in sales of the Bat Scooter after approximately 2 weeks.
Complete background research to gather sufficient information to propose an initial hypothesis for the event or phenomenon.
Construct a hypothesis to explain the event or answer the question.
Define and execute an objective...

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Authors (3)

Matt Goldwasser

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.

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Upom Malik

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.

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Benjamin Johnston

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.

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