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- Data Analysis Using SQL and Excel
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19835431
Data Analysis Using SQL and Excel
85% of respondents would recommend this to a friend
Barang #:
19835431
USD 42
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Data Analysis Using SQL and Excel, 2nd Edition shows you how to leverage the two most popular tools for data query and analysis―SQL and Excel―to perform sophisticated data analysis without the need for complex and expensive data mining tools.
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What Stands Out
Comprehensive Coverage
This edition provides extensive insights into both SQL and Excel, making it ideal for beginners and seasoned data analysts seeking to enhance their skills and application in data analysis.
Practical Exercises
Includes hands-on exercises that reinforce learning, allowing readers to apply theoretical knowledge in real-world scenarios, which enhances retention and practical skill development.
Clear Explanations
Offers clear, concise explanations of complex concepts, making it accessible to those without a technical background, thus empowering a broader audience to leverage data analysis tools effectively.
Rincian Produk
- Practical guide for data mining using SQL and Excel
- Learn to extract business information from relational databases
- Master fundamental techniques and understand the 'where' and 'why' of each analysis
- Companion website includes datasets and Excel spreadsheets
- Perform a wide range of sophisticated analyses using SQL and Excel
- Achieve expert results using familiar tools
| Publisher | Wiley |
| Publication date | December 14, 2015 |
| Edition | 2nd |
| Language | English |
| Print length | 800 pages |
| ISBN-10 | 9781119021438 |
| ISBN-13 | 978-1119021438 |
| Item Weight | 2.85 pounds (1.29 kg) |
| Dimensions | 7.3 x 1.7 x 9.1 inches (18.5 x 4.3 x 23.1 cm) |
Who Should Buy?
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Aspiring Data Analysts
Ideal for beginners seeking foundational skills in data analysis using SQL and Excel for real-world applications.
-
Business Professionals
Beneficial for professionals needing to interpret data and generate reports to drive business decisions effectively.
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Students in Courses
Perfect for students enrolled in data analysis, statistics, or related courses, enhancing their understanding of key concepts.
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Advanced Data Scientists
Not suitable for experts who require advanced statistical methods beyond basic SQL and Excel capabilities.
DESKRIPSI PRODUK
Data Analysis Using SQL and Excel
About This Item
Product Title: Data Analysis Using SQL and Excel, 2nd Edition Are you looking to unlock the power of data analysis for your business? Look no further than "Data Analysis Using SQL and Excel, 2nd Edition." This comprehensive guide, written by leading expert Gordon S. Linoff, will teach you how to harness the combined power of SQL and Excel to perform sophisticated data analysis. SQL is the essential language for querying databases, while Excel is the go-to tool for data presentation and analysis. Together, they create a powerful and accessible solution for business data analysis.
Whether you're an experienced data analyst or just starting out, this book will provide you with the necessary skills to excel in your role. The second edition of this highly regarded book has been revised to cover the newest enhancements to SQL and Excel, including new techniques and real-world examples. With more than 100 pages of new material, you'll have access to the most up-to-date information and techniques. Beginning with the basics of SQL and Excel, the book guides you through core analytic techniques and explains how to run them on real data using these familiar tools. You'll learn why and when to perform specific types of analysis, how to design and perform them, and powerful ways of presenting the results. From analyzing customer purchase patterns to market basket analysis, association rules, and more, this book covers a wide range of data analysis methods.
It also delves into survival analysis to understand time-to-event problems, such as customer tenure and churn. Best practices for SQL queries and performance optimization are covered in detail, ensuring that you can maximize the value of your data. The book also provides insights on avoiding common pitfalls and getting the results you're looking for. With its clear and concise explanations, real-world examples, and practical tips, "Data Analysis Using SQL and Excel" is a valuable resource for data analysts, business managers, and anyone looking to leverage the power of data analysis for business success. Don't miss out on the opportunity to gain a competitive edge in your industry. Get your copy of "Data Analysis Using SQL and Excel, 2nd Edition" today and unlock the full potential of your data. Note: The companion website includes datasets for all examples in the book, as well as related Excel spreadsheets, enhancing your learning experience.
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Data Mining Editorial Review
Data Analysis Using SQL and Excel is recognized for its thorough examination of SQL in the context of business analysis, as highlighted in the positive reviews that commend its approach to complex queries and valuable integration with Excel. The book, published by Wiley, spans 800 pages, and the second edition features enhancements, such as improved readability through common table expressions and a better index, making it easier for readers to locate essential examples. However, users have noted some issues with SQL script compatibility on different operating systems, suggesting additions for future editions that tackle cross-platform setups.
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Pro
- Comprehensive SQL analysis for business applications
- Improved readability with common table expressions
- Effective integration of SQL with Excel data analysis
- Engaging writing style keeps readers interested
- Ideal for advanced SQL users looking to enhance skills
Kontra
- SQL queries contain numerous errors requiring caution
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USD 42
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Fitur & Manfaat
- Practical guide to data mining using SQL and Excel
- Perform sophisticated data analysis without complex tools
- Learn fundamental techniques before moving into advanced analysis
- Includes SQL and Excel code examples
- Companion website with datasets and Excel spreadsheets
- Achieve expert results with tools you already know
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