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Databases & Big Data - SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights

Description

Book Synopsis: 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 Read more

Details

Looking to take your data analysis skills to the next level? Look no further than our comprehensive guide, "SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights". With the vast amount of data available today, SQL has become an essential tool for analysts and data scientists. This invaluable resource reveals new and hidden ways to enhance your SQL skills, solve problems, and make the most out of SQL in your workflow.

Whether you're a seasoned SQL user or a beginner, this book will empower you with the knowledge to leverage both common and exotic SQL functions. Learn how to utilize joins, window functions, subqueries, and regular expressions in innovative ways to accomplish your goals efficiently and write understandable code.

Preparing data for analysis is key, and this book guides you through the necessary steps to ensure your data is primed and ready. Dive into time series analysis using SQL's date and time manipulations, investigate how groups change over time with cohort analysis, and tap into SQL's powerful functions and operators for text analysis.

Uncover outliers in your data and replace them with alternate values, and establish causality through experiment analysis, also known as A/B testing. With this indispensable reference, you'll gain the skills needed to derive valuable insights from your SQL databases.

Don't miss out on this opportunity to supercharge your data analysis skills. Grab your copy of "SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights" today!

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