Sql For Data Analysis Advanced Techniques For Transforming Data Into Insights
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SQL for Data Analysis
Author: Cathy Tanimura
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2021-09-09
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
SQL for Data Analysis
With the explosion of computing power, thanks to analytic databases and cloud data warehouses, SQL has become an even more robust and flexible tool for the savvy analyst or data scientist. This practical book reveals hidden ways to get the most out of your SQL 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 waysâ??as well as how to combine SQL techniques to accomplish your goals faster, with more understandable code. If you work with SQL databases, this is a must-have reference. SQL for Data Analysis covers useful applications such as: Cohort analysis Text analysis Anomaly detection Time series analysis Experiment analysis Creating complex datasets for further exploration in statistical and visualization tools And more
Data Analysis Using SQL and Excel
Author: Gordon S. Linoff
language: en
Publisher: John Wiley & Sons
Release Date: 2010-09-16
Useful business analysis requires you to effectively transform data into actionable information. This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more. Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what the results should look like.