Book SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights PDF Download - Cathy Tanimura
Download ebook ➡ http://get-pdfs.com/pl/book/613027/918
SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights
Cathy Tanimura
Page: 342
Format: pdf, ePub, mobi, fb2
ISBN: 9781492088783
Publisher: O'Reilly Media, Incorporated
Download or Read Online SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights Free Book (PDF ePub Mobi) by Cathy Tanimura
SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights Cathy Tanimura PDF, SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights Cathy Tanimura Epub, SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights Cathy Tanimura Read Online, SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights Cathy Tanimura Audiobook, SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights Cathy Tanimura VK, SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights Cathy Tanimura Kindle, SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights Cathy Tanimura Epub VK, SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights Cathy Tanimura Free Download
Overview
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