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Can I read SQL for Data Analytics : Perform Fast and Efficient Data Analysis with the Power of SQL on EtoBox?
SQL for Data Analytics : Perform Fast and Efficient Data Analysis with the Power of SQL by Upom Malik; Matt Goldwasser; Benjamin Johnston is a nonfiction available to read on EtoBox.
What is SQL for Data Analytics : Perform Fast and Efficient Data Analysis with the Power of SQL about?
Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets. Key Features • Explore a variety of statistical techniques to analyze your data • Integrate your SQL pipelines with other analytics technologies • Perform advanced analytics such as geospatial and text analysis Book Description 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 o
Who reads SQL for Data Analytics : Perform Fast and Efficient Data Analysis with the Power of SQL?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Upom Malik; Matt Goldwasser; Benjamin Johnston
- Publisher
- Packt Publishing, Limited
- Published
- 2019
- Language
- EN
- ISBN
- 9781789803846
- Category
- nonfiction
- Subjects
- Language Learning, Management, Science
- Rating
- 4.4 / 5 (238 ratings)
- Updated
- 2026-03-14
Other editions & translations
- SQL for Data Analytics, Third Edition: Harness the power of SQL to extract insights from data (2022)
- SQL for Data Analytics: Harness the power of SQL to extract insights from data, 3rd Edition (2022)
- Mastering SAS Programming for Data Warehousing : An Advanced Programming Guide to Designing and Managing Data Warehouses Using SAS (2020)
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