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87476195
SQL for Data Analysis: Advanced Techniques for Transforming Data Into Insights (Paperback)
88% of respondents would recommend this to a friend
Item #:
87476195
BSD 55
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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.
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What Stands Out
In-depth Techniques
Offers advanced SQL strategies for data transformation, enabling users to uncover deep insights that standard methods may overlook, perfect for analysts looking to enhance their skills.
Practical Application
Includes real-world examples and case studies that illustrate complex concepts, ensuring readers can apply learning immediately, thus bridging the gap between theory and practice.
Comprehensive Resource
Serves as a complete guide, covering a wide range of SQL functionalities to address diverse data analysis challenges, making it a valuable asset for both beginners and seasoned data professionals.
Product Details
- 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
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | October, 2021 |
| Pages | 357 |
| Reading level | Professional and Scholarly |
| Subgenre | Computers |
| Edition | 1 edition |
| Publisher | O'Reilly Media |
| Original languages | English |
| Language | English |
| Awards won | None |
| Is collectible | N |
| Editor | Alexander R. Vaccaro, Maxwell Boakye |
| Assembled product height | 9 in |
| Assembled product weight | 1.2 lb (540 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Data Analysts
This book offers advanced SQL techniques that help data analysts extract meaningful insights from complex datasets.
-
Business Intelligence Professionals
Ideal for BI professionals aiming to enhance their data querying skills and improve decision-making processes through insights.
-
Students of Data Science
Perfect for data science students looking to deepen their understanding of SQL in data analysis and transformation techniques.
-
Beginner SQL Users
Not suitable for beginners, as the book focuses on advanced techniques that may overwhelm those unfamiliar with SQL.
Product Description
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Cathy Tanimura All Books Editorial Review
SQL for Data Analysis: Advanced Techniques for Transforming Data Into Insights is a comprehensive guide designed for professionals and scholars seeking to enhance their skills in data manipulation and analysis. This paperback edition, published by O'Reilly Media in October 2021, spans 357 pages and covers advanced SQL techniques crucial for transforming raw data into actionable insights. Readers appreciate the book's clarity and practical examples, making it both informative and applicable to real-world situations. The focus on non-fiction within the computing genre ensures that it meets the standards expected by professionals aiming for growth in data analysis.
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Pros
- Comprehensive insights into SQL data analysis
- Practical examples enhance learning
- Ideal for professional development
- First edition published by a reputable publisher
- Well-structured for advanced users
Cons
- May be complex for beginners
Product Price History
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Features & Benefits
- Enhance your SQL skills for deeper data insights.
- Learn innovative uses of SQL functions like joins and window functions.
- Master time series and cohort analysis techniques.
- Utilize powerful SQL functions for effective text analysis.
- Identify and manage outliers in your data.
- Establish causality through experiment analysis (A/B testing).
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