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SQL for Data Analytics: Perform fast and efficient data analysis with the power of SQL
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SQL for Data Analytics: Perform fast and efficient data analysis with the power of SQL
SQL for Data Analytics: Perform fast and efficient data analysis with the power of SQL
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

MYR 189

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What Stands Out

Speedy Learning
Quickly grasp SQL fundamentals with clear examples and practical exercises, making data analysis accessible for beginners and efficient for experienced users.
Real-World Application
Solve actual data problems through detailed case studies that enhance skills in data extraction and manipulation, bridging the gap between theory and practice.
Comprehensive Guide
Offers a complete walkthrough of SQL features and functions, ensuring users gain a solid foundation and advanced techniques for effective data analysis.

Maklumat produk

Shop SQL for Data Analytics: Perform fast and efficient data analysis with the power of SQL online at a best price in Malaysia. B07QVQGBXB
Publisher Packt Publishing
Publication date August 23, 2019
Edition 1st
Language English
File size 31.5 MB
Screen Reader Supported
Enhanced typesetting Enabled
X-Ray Enabled
Word Wise Not Enabled
Print length 388 pages
ISBN-13 978-1789803846
Page Flip Enabled
Item Weight0.5 lbs (230 grams)

Who Should Buy?

Suitable For
  • Data Analysts

    Perfect for data analysts looking to enhance their SQL skills for fast and efficient data analysis tasks.

  • Aspiring Data Scientists

    Ideal for beginners wanting to build a foundation in SQL for data manipulation and analysis during their learning journey.

  • Business Intelligence Professionals

    Useful for BI professionals needing to extract insights from databases efficiently to drive data-driven decision-making.

Not Suitable For
  • Absolute Beginners

    Not suitable for those with no prior experience in database concepts or programming, as it may be overwhelming.

PENERANGAN PRODUK

SQL for Data Analytics: Perform fast and efficient data analysis with the power of SQL

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  • soalan: Adakah SQL for Data Analytics: Perform fast and efficient Tersedia untuk Beli-belah Dalam Talian dalam Malaysia?

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SQL 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. **

Customer Reviews & Ratings

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Ulas Produk Ini

Kongsikan pandangan anda dengan pelanggan lain

Kebaikan

  • 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

Keburukan

  • Index is poorly organized and difficult to use

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