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Title details for SQL for Data Analysis by Cathy Tanimura - Wait list

SQL for Data Analysis

by Cathy Tanimura
ebook
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With the explosion of data, computing power, and cloud data warehouses, SQL has become an even more indispensable tool for the savvy analyst or data scientist. This practical book reveals new and hidden ways to improve your SQL skills, solve problems, and make the most of SQL as part of your workflow.

You'll learn how to use both common and exotic SQL functions such as joins, window functions, subqueries, and regular expressions in new, innovative ways—as well as how to combine SQL techniques to accomplish your goals faster, with understandable code. If you work with SQL databases, this is a must-have reference.

  • Learn the key steps for preparing your data for analysis
  • Perform time series analysis using SQL's date and time manipulations
  • Use cohort analysis to investigate how groups change over time
  • Use SQL's powerful functions and operators for text analysis
  • Detect outliers in your data and replace them with alternate values
  • Establish causality using experiment analysis, also known as A/B testing
    • Expand title description text
    Publisher: O'Reilly Media

    Kindle Book

    • Release date: September 9, 2021

    OverDrive Read

    • ISBN: 9781492088738
    • Release date: September 9, 2021

    EPUB ebook

    • ISBN: 9781492088738
    • File size: 7020 KB
    • Release date: September 9, 2021

    Formats

    Kindle Book
    OverDrive Read
    EPUB ebook

    subjects

    Computer Technology Nonfiction

    Languages

    English

    With the explosion of data, computing power, and cloud data warehouses, SQL has become an even more indispensable tool for the savvy analyst or data scientist. This practical book reveals new and hidden ways to improve your SQL skills, solve problems, and make the most of SQL as part of your workflow.

    You'll learn how to use both common and exotic SQL functions such as joins, window functions, subqueries, and regular expressions in new, innovative ways—as well as how to combine SQL techniques to accomplish your goals faster, with understandable code. If you work with SQL databases, this is a must-have reference.

  • Learn the key steps for preparing your data for analysis
  • Perform time series analysis using SQL's date and time manipulations
  • Use cohort analysis to investigate how groups change over time
  • Use SQL's powerful functions and operators for text analysis
  • Detect outliers in your data and replace them with alternate values
  • Establish causality using experiment analysis, also known as A/B testing
    • Expand title description text
    Computer Technology Nonfiction