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.

SQL for Data Analytics helps you build the skills to move beyond basic SQL and instead learn to spot patterns and explain the logic hidden in data. You'll discover how to explore and understand data by identifying trends and unlocking deeper insights.

SQL for Data Analytics, Third Edition is a great way to get started with data analysis, showing how to effectively sort and process information from raw data, even without any prior experience.

A goal of this book is to change that, giving practitioners a reference for how to solve common analysis problems with SQL, and I hope inspiring new inquiries into data using techniques you might not have seen before.

Chapters 3 through 7 present applications of data analysis, focusing on time series analysis, cohort analysis, text analysis, anomaly detection, and experiment analysis.

Aspiring data scientists will learn how to how to construct datasets for exploration, analysis, and machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls.

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Data Analysis Using SQL and Excel, 2nd Edition shows you how to leverage the two most popular tools for data query and analysis—SQL and Excel—to perform sophisticated data analysis without the need for complex and expensive data mining tools.

Each chapter discusses why and when to perform a particular type of business analysis to obtain a useful business result, how to design and perform the analysis using SQL and Excel, and what the results look like in SQL and Excel

From data profiling to time series, text analysis, and anomaly detection, SQL can tackle a number of common requirements. Techniques and functions can also be combined in any given SQL statement to perform experiment analysis and build complex data sets.