Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets.
Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but don t know how to use it to gain business insights from data, this book is for you.
SQL for Data Analytics covers everything you need progress from simply knowing basic SQL to telling stories and identifying trends in data. You ll be able to start exploring your data by identifying patterns and unlocking deeper insights. You ll also gain experience working with different types of data in SQL, including time-series, geospatial, and text data. Finally, you ll understand how to become productive with SQL with the help of profiling and automation to gain insights faster.
By the end of the book, you ll able to use SQL in everyday business scenarios efficiently and look at data with the critical eye of analytics professional.
If you re a database engineer looking to transition into analytics, or a backend engineer who wants to develop a deeper understanding of production data, you will find this book useful. This book is also ideal for data scientists or business analysts who want to improve their data analytics skills using SQL. Knowledge of basic SQL and database concepts will aid in understanding the concepts covered in this book.
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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.
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.
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 PhD in machine learning, specializing in image processing and deep convolutional neural networks. He has more than 10 years' 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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