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SQL for Data Analytics: Perform fast and efficient data analysis with the power of SQL

✍ Scribed by Upom Malik, Matt Goldwasser, Benjamin Johnston

Publisher
Packt Publishing
Year
2019
Tongue
English
Leaves
386
Category
Library
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✦ Synopsis

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...

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