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Nº de artículo:
90431804
SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights
89% of respondents would recommend this to a friend
Nº de artículo:
90431804
HNL 2198
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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
Advanced Techniques
Offers in-depth strategies for data transformation, empowering users to extract actionable insights and enhance data quality, setting it apart from introductory SQL guides.
Practical Applications
Focuses on real-world scenarios, allowing users to apply complex SQL concepts effectively, making it ideal for data professionals seeking to advance their analytical skills.
Comprehensive Coverage
Covers a wide range of SQL functionalities, ensuring that readers gain a thorough understanding of powerful data analysis techniques that can drive meaningful business decisions.
Detalles de producto
- 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
| Publisher | O'Reilly Media |
| Publication date | 30 Sept. 2021 |
| Language | English |
| Print length | 357 pages |
| ISBN-10 | 1492088781 |
| ISBN-13 | 978-1492088783 |
| Item weight | 1.05 kg |
| Dimensions | 17.15 x 1.91 x 22.23 cm |
Who Should Buy?
-
Data Analysts
Ideal for professionals seeking to enhance their SQL skills and perform advanced data analysis effectively.
-
Business Intelligence
Suitable for individuals in BI roles needing to extract meaningful insights from complex data sets using SQL.
-
Data Scientists
Perfect for data scientists looking to improve their data manipulation techniques and gain deeper analytical insights.
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Beginners
Not suitable for those with little or no experience in SQL as it covers advanced techniques.
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Revisión editorial
SQL For Data Analysis Advanced Techniques For Transforming Data Into Insights offers a comprehensive approach to mastering SQL, ideal for those looking to turn data into actionable insights. With its detailed explanations, relevant code examples, and clear elucidation of concepts like the execution order of SQL statements, the book serves as an essential resource for both beginners and seasoned users. Despite brief mentions of some quality issues with the print, readers appreciate the structured learning path and practical application of the content, making it a staple for revisiting SQL fundamentals.
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ventajas
- Comprehensive coverage of SQL techniques
- Clear explanations with relevant code examples
- Effective for both beginners and advanced learners
- Helpful insights into execution order of SQL
- Regular reference for SQL fundamentals
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características y beneficios
- Learn how to use both common and exotic SQL functions
- Combine SQL techniques to accomplish your goals faster
- Perform time series analysis using SQL's date and time manipulations
- Use cohort analysis to investigate how groups change over time
- 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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