SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights
Language: English
Published by O'Reilly Media, United States, Sebastopol, 2021
- Softcover
- Used
Seller: WorldofBooks, Goring-By-Sea, WS, United KingdomWorldofBooks
AbeBooks seller since March 16, 2007
Condition: Used - Very good
£ 32.98
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Add to basketItem description from seller
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. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.…
Seller Inventory # GOR013737093
- Title
- SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights
- Author
- Cathy Tanimura
- Publisher
- O'Reilly Media, United States, Sebastopol
- Publication year
- 2021
- Condition
- Very Good
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1492088781
- ISBN 13
- 9781492088783
- Item weight
- 621 grams
- Dimensions
- 178.0 x 232.0
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
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About the Author
"About the title" may belong to another edition of this title.
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