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SQL for Data Analysis : Advanced Techniques for Transforming Data into Insights by Cathy Tanimura (2021, Trade Paperback)
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This book is a comprehensive guide to using SQL for data analysis, providing advanced techniques for transforming data into insights. With a focus on data analysis and manipulation, this book covers a wide range of topics including data conversion, filtering, aggregation, and visualization. The book is authored by Cathy Tanimura and published by O'Reilly, Inc. in 2021.The book is a trade paperback format, with 350 pages of rich content. It is written in English, making it accessible to a wide range of readers. The book covers advanced topics and is recommended for readers with a high level of expertise in data analysis. The book is 9.2 inches in length, 7 inches in width, and 0.9 inches in height, weighing 22.2 ounces.
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Product Identifiers
PublisherO'reilly Media, Incorporated
ISBN-101492088781
ISBN-139781492088783
eBay Product ID (ePID)17050379040
Product Key Features
Number of Pages357 Pages
Publication NameSql for Data Analysis : Advanced Techniques for Transforming Data Into Insights
LanguageEnglish
Publication Year2021
SubjectData Modeling & Design, General, Programming Languages / Sql, Databases / Data Mining
TypeTextbook
Subject AreaMathematics, Computers
AuthorCathy Tanimura
FormatTrade Paperback
Dimensions
Item Height1.4 in
Item Weight21.4 Oz
Item Length9.2 in
Item Width7 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2022-300024
Dewey Edition23
IllustratedYes
Dewey Decimal005.75/65
SynopsisWith 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
LC Classification NumberQA76.73.S67
