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Show Notes
SQL for Data Analysis (Cathy Tanimura)
- Amazon USA Store: https://www.amazon.com/dp/1492088781?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/SQL-for-Data-Analysis-Cathy-Tanimura.html
- Apple Books: https://books.apple.com/us/audiobook/sql-for-data-analysis-mastering-the-language-of-data/id1778251829?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=SQL+for+Data+Analysis+Cathy+Tanimura+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/1492088781/
#Windowfunctions #Cohortanalysis #TimeseriesSQL #Regularexpressions #Experimentanalysis #SQLforDataAnalysis
SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights by Cathy Tanimura is a practical technical guide to using SQL as an analytical language rather than merely a means of retrieving records. Aimed at analysts, data scientists, and experienced SQL users, it focuses on the work that turns raw tables into evidence for business and research questions. The book moves beyond introductory SELECT statements to show how joins, subqueries, window functions, date operations, and regular expressions can be combined into clear analytical workflows. Its subject matter includes data preparation, time-based measurement, cohort analysis, text processing, outlier handling, and experiment analysis. This scope positions SQL close to the full analysis process: defining a population, creating reliable measures, comparing groups, and interpreting results. The emphasis is not on a single database product or an abstract survey of syntax. Instead, Tanimura presents reusable ways to structure queries for common analytical problems, with attention to readable code and the assumptions behind a result.
- Amazon USA Store: https://www.amazon.com/dp/1492088781?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/SQL-for-Data-Analysis-Cathy-Tanimura.html
- Apple Books: https://books.apple.com/us/audiobook/sql-for-data-analysis-mastering-the-language-of-data/id1778251829?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=SQL+for+Data+Analysis+Cathy+Tanimura+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/1492088781/
#Windowfunctions #Cohortanalysis #TimeseriesSQL #Regularexpressions #Experimentanalysis #SQLforDataAnalysis
SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights by Cathy Tanimura is a practical technical guide to using SQL as an analytical language rather than merely a means of retrieving records. Aimed at analysts, data scientists, and experienced SQL users, it focuses on the work that turns raw tables into evidence for business and research questions. The book moves beyond introductory SELECT statements to show how joins, subqueries, window functions, date operations, and regular expressions can be combined into clear analytical workflows. Its subject matter includes data preparation, time-based measurement, cohort analysis, text processing, outlier handling, and experiment analysis. This scope positions SQL close to the full analysis process: defining a population, creating reliable measures, comparing groups, and interpreting results. The emphasis is not on a single database product or an abstract survey of syntax. Instead, Tanimura presents reusable ways to structure queries for common analytical problems, with attention to readable code and the assumptions behind a result.
