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SQL for Data Analysis : advanced techniques for transforming data into insights / Cathy Tanimura

By: Tanimura, Cathy [author]Material type: Text

TextPublication details: Sebastopol : O'Reilly Media, c2021Edition: First EditionDescription: 342 pages : illustrations ; 24 cmSubject(s): MATHEMATICAL STATISTICSLOC classification: QA 76.73.S67 .T36 2021

Contents:

1. Analysis with SQL -- 2. Preparing data for analysis -- 3. Time series analysis -- 4. Cohort analysis -- 5. Text analysis -- 6. Anomaly detection -- 7. Experiment analysis -- 8. Creating complex data sets for analysis -- 9. Conclusion

Summary: 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.

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Item type	Current library	Home library	Collection	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	National University - Manila	National University - Manila	Digital Forensic	General Circulation	GC QA 76.73.S67 .T36 2021 (Browse shelf (Opens below))	c.1	Available		NULIB000019368

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Includes index.

1. Analysis with SQL --
2. Preparing data for analysis --
3. Time series analysis --
4. Cohort analysis --
5. Text analysis --
6. Anomaly detection --
7. Experiment analysis --
8. Creating complex data sets for analysis --
9. Conclusion

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.

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