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Item #:
38667115
SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis
85% of respondents would recommend this to a friend
Item #:
38667115
KZT 19638
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What Stands Out
Beginner-Friendly
This guide is tailored for beginners, making complex SQL concepts accessible. It simplifies learning, ensuring new users can quickly grasp essential techniques for building datasets without prior experience.
Practical Examples
The book includes numerous practical examples and hands-on exercises, allowing readers to apply SQL in real-world scenarios. This approach enhances learning retention and aids in developing valuable data manipulation skills.
Comprehensive Coverage
Covering a wide range of SQL topics, this guide equips data scientists with crucial tools for dataset creation. Its in-depth methodology prepares readers to tackle diverse data challenges confidently.
Product Details
| Publisher | Wiley |
| Publication date | September 15, 2021 |
| Edition | 1st |
| Language | English |
| Print length | 288 pages |
| ISBN-10 | 1119669367 |
| ISBN-13 | 978-1119669364 |
| Item Weight | 1 pounds (450 grams) |
| Dimensions | 7.3 x 0.7 x 9.2 inches (18.5 x 1.8 x 23.4 cm) |
Who Should Buy?
-
Aspiring Data Scientists
This guide provides foundational SQL skills essential for data analysis and dataset management in data science.
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Non-Technical Analysts
Analysts seeking to enhance their data manipulation abilities will benefit from clear SQL explanations and practical examples.
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Beginner Programmers
New programmers can learn SQL as it simplifies database interactions, improving their overall coding competencies.
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Advanced SQL Users
Experienced users may find this beginner guide lacking in depth and advanced query techniques for complex analysis.
Product Description
SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis
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Structured Design Editorial Review
SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis 1st Edition is a highly useful guide for beginners in SQL, with a direct and clear writing style and concise chapters. It is a must-have resource for aspiring data scientists, with valuable online companion material. However, the build quality of the book is not great, with cheap paper and cover material. The book offers comprehensive and accessible examples of SQL code, making it a practical how-to and reference guide for both new and seasoned SQL users. Some readers wished the book included examples of extending SQL to statistical packages, which would have added to its usefulness.
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Pros
- Direct and clear writing style
- Concise chapters
- Comprehensive examples of SQL code
- Valuable online companion material
- Practical how-to and reference guide
Cons
- Poor build quality of book
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KZT 19638
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