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The Applied SQL Data Analytics Workshop: Develop your practical skills and prepare to become a professional data analyst, 2nd Edition
85% of respondents would recommend this to a friend
NZD 101
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What Stands Out
Product Details
| Publisher | Packt Publishing |
| Publication date | February 28, 2020 |
| Edition | 2nd ed. |
| Language | English |
| Print length | 484 pages |
| ISBN-10 | 1800203675 |
| ISBN-13 | 978-1800203679 |
| Item Weight | 1.99 pounds (900 grams) |
| Dimensions | 7.5 x 1.09 x 9.25 inches (19.1 x 2.8 x 23.5 cm) |
Who Should Buy?
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Aspiring Data Analysts
Ideal for beginners aiming to develop practical SQL skills necessary for data analysis careers.
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Data Science Students
Perfect for students seeking to complement their theoretical knowledge with hands-on SQL experience.
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Career Changers
Beneficial for professionals transitioning into data analytics, providing a foundation in SQL and real-world applications.
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Advanced Analysts
Not suitable for experienced analysts seeking advanced SQL techniques or specialized data analytics knowledge.
Product Description
The Applied SQL Data Analytics Workshop: Develop your practical skills and prepare to become a professional data analyst, 2nd Edition
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SQL Editorial Review
**** The "Applied SQL Data Analytics Workshop: Develop your practical skills and prepare to become a professional data analyst, 2nd Edition" stands out for its logical structure and comprehensive explanations, making it an effective resource for aspiring data analysts. The book is particularly praised for its practical approach, focusing on real-world applications of SQL that can be seamlessly integrated into daily workflows. Reviewers have appreciated the relevant practice exercises, which are designed to challenge users as they progress through the material. However, the book has received some criticism, particularly for its initial focus on Excel rather than diving straight into SQL. Additionally, the choice to use PostgreSQL may not align with the needs of all users, especially those familiar with other major database systems like MS SQL, Oracle, or MySQL. Some customers noted that the content could benefit from addressing more contemporary techniques, such as pivot tables, which are essential for modern data analysis. Overall, the book effectively serves its primary audience—those looking to enhance their practical SQL skills and prepare for data analyst roles. While it may have some shortcomings regarding its choice of database and the initial content focus, its logical layout and practical exercises make it a worthwhile read for those with at least a basic understanding of SQL. **
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Pros
- Logical structure and clear explanations
- Relevant and challenging practice exercises
- Focus on practical applications of SQL
- Accessible to users with basic familiarity with SQL
Cons
- Initial focus on Excel may detract from SQL learning
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