SQL for Data Analytics
Harness the power of SQL to extract insights from data
$74.81
- Paperback
540 pages
- Release Date
29 August 2022
Summary
Take your first steps to becoming a fully qualified data analyst by learning how to explore complex datasets
Key Features
- Master each concept through practical exercises and activities
- Discover various statistical techniques to analyze your data
- Implement everything you’ve learned on a real-world case study to uncover valuable insights
Book Description
Every day, businesses operat…
Book Details
| ISBN-13: | 9781801812870 |
|---|---|
| ISBN-10: | 180181287X |
| Author: | Jun Shan, Matt Goldwasser, Upom Malik, Benjamin Johnston |
| Publisher: | Packt Publishing Limited |
| Imprint: | Packt Publishing Limited |
| Format: | Paperback |
| Number of Pages: | 540 |
| Edition: | 3rd |
| Release Date: | 29 August 2022 |
| Dimensions: | 75mm x 93mm |
Jun Shan
Jun Shan is an expert information technology professional who has been designing and implementing data management systems for more than 20 years. He also teaches SQL and Relational Database at Columbia University in the City of New York and Saint Peter’s University. He completed his Master of Science in Computer Science from Virginia Tech and is currently a solution architect in a top 3 cloud computing service provider.
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.
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.
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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