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Item #:
106212363
SQL for Data Analytics: Perform fast and efficient data analysis with the power of SQL
89% of respondents would recommend this to a friend
Item #:
106212363
SAR 145
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Product Details
| Publisher | Packt Publishing |
| Publication date | August 23, 2019 |
| Language | English |
| Print length | 386 pages |
| ISBN-10 | 1789807352 |
| ISBN-13 | 978-1789807356 |
| Item Weight | 1.52 pounds (690 grams) |
| Dimensions | 7.5 x 0.87 x 9.25 inches (19.1 x 2.2 x 23.5 cm) |
Product Description
SQL for Data Analytics: Perform fast and efficient data analysis with the power of SQL
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Data Mining Editorial Review
**** "SQL for Data Analytics" has emerged as a highly regarded resource for both novices and seasoned professionals looking to deepen their understanding of SQL in the context of data analytics. Users have praised its straightforward explanations and well-organized structure, which facilitates both reading from cover to cover and using it as a quick reference guide. The book effectively lays out the fundamental concepts and practical applications of SQL that are essential for successfully querying and analyzing data. Many readers, particularly those entering new roles requiring SQL proficiency, have found the book invaluable. The clarity of the writing, alongside practical examples, makes it accessible even to those with limited prior experience in SQL. Users have reported that the book not only met their learning needs but also served as a convenient point of reference for ongoing projects. However, there has been feedback regarding the book’s index, which several reviewers described as inadequate and not user-friendly. The issue arises from the index being overly broad and not efficiently organized, resulting in a frustrating experience for those wanting to quickly locate specific topics or commands. This drawback suggests a need for improvement in future editions to enhance usability. Overall, "SQL for Data Analytics" is a strong resource that effectively bridges the gap between beginners and more advanced users in the realm of SQL for data analytics, with a few caveats regarding the index. **
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Pros
- Comprehensive and clear explanations for beginners
- Well-organized structure for both reading and reference
- Practical examples for real-world application
- Highly recommended for new SQL learners in analytics roles
Cons
- Index is poorly organized and difficult to use
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