SQL for Data Analytics
Perform fast and efficient data analysis with the power of SQL
Upom Malik, Matt Goldwasser & Benjamin Johnston
SQL for Data Analytics
Perform fast and efficient data analysis with the power of SQL
Upom Malik, Matt Goldwasser & Benjamin Johnston
Paperback
|
English
€78.95
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- 30 days to change your mind and return physical products
Description
SQL for Data Analytics teaches everything you need to know to progress from basic SQL to identifying trends and creating compelling narratives with data. With this book, you will be able to look at data with the critical eye of an analytics professional and extract meaningful insights that will improve your business.
Upom Malik is a data scientist who has worked in the technology industry for over 6 years. He has a master’s degree in chemical engineering from Cornell University and a bachelor’s degree in biochemistry from Duke University. He uses SQL and other tools to solve interesting challenges in finance, energy, and consumer technologies. While working on analytical problems, he has lived out of a suitcase and spent the last year as a digital nomad. 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 a lead data scientist at T. Rowe Price. He enjoys demystifying data science for business stakeholders and deploying production machine learning solutions. Matt has been using SQL to perform data analytics in the financial industry for the last 8 years. He has a bachelor’s degree in mechanical and aerospace engineering from Cornell University. In his spare time, he enjoys teaching his infant son data science. 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.
Upom Malik is a data scientist who has worked in the technology industry for over 6 years. He has a master’s degree in chemical engineering from Cornell University and a bachelor’s degree in biochemistry from Duke University. He uses SQL and other tools to solve interesting challenges in finance, energy, and consumer technologies. While working on analytical problems, he has lived out of a suitcase and spent the last year as a digital nomad. 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 a lead data scientist at T. Rowe Price. He enjoys demystifying data science for business stakeholders and deploying production machine learning solutions. Matt has been using SQL to perform data analytics in the financial industry for the last 8 years. He has a bachelor’s degree in mechanical and aerospace engineering from Cornell University. In his spare time, he enjoys teaching his infant son data science. 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.