Data Analysis Using SQL and Excel
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Data Analysis Using SQL and Excel
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.
Data Analysis Using SQL and Excel
Numéro d'article: 19835431

Data Analysis Using SQL and Excel

85% des répondants recommanderaient ceci à un ami

Numéro d'article: 19835431

XAF 27199

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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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Ce qui se démarque

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.

Détails du produit

Learn sophisticated data analysis using SQL and Excel. Analyze, interpret, and present data professionally. Understand core analytic techniques and best practices for SQL queries. Maximize the value of your customer and business data. Shop at Ubuy Gabon
  • 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)

À qui est-ce destiné ?

Suitable For
  • 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.

  • Students in Courses

    Perfect for students enrolled in data analysis, statistics, or related courses, enhancing their understanding of key concepts.

Not Suitable For
  • Advanced Data Scientists

    Not suitable for experts who require advanced statistical methods beyond basic SQL and Excel capabilities.

DESCRIPTION DU PRODUIT

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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Questions et réponses des clients

  • question: What is the main focus of 'Data Analysis Using SQL and Excel 2nd Edition'?

    répondre: The book primarily focuses on teaching readers how to effectively use SQL and Excel for data analysis. It provides in-depth coverage of data manipulation, querying, and how to create insightful reports using both tools. By illustrating the integration of SQL databases with Excel, it empowers users to leverage the strengths of both platforms for data-driven decision-making. Readers will encounter practical examples and step-by-step guides that enhance their analytical skills, making it ideal for professionals who rely on data for their work, such as analysts and managers.
  • question: Who is the target audience for this book?

    répondre: The target audience for 'Data Analysis Using SQL and Excel 2nd Edition' includes business analysts, data analysts, finance professionals, and students interested in data science. It caters to individuals at various proficiency levels, offering foundational knowledge for beginners as well as advanced techniques for seasoned professionals. By using real-world scenarios, the book serves as a practical guide for anyone looking to enhance their data analysis capabilities, making it a valuable resource in both academic and professional settings.
  • question: What skills will I gain from this book?

    répondre: Readers will gain essential skills in data analysis, focusing on SQL and Excel functionalities. By the end of the book, you will learn how to write effective SQL queries to extract and manipulate data from databases, and how to use Excel for advanced analytics such as pivot tables, charts, and data visualization techniques. This combination of skills enhances your ability to interpret complex datasets and presents information in a digestible format, which is crucial in industries like finance, marketing, and healthcare where data-driven decisions are key.
  • question: Is prior knowledge of SQL or Excel required before reading?

    répondre: No prior knowledge of SQL or Excel is required to start with 'Data Analysis Using SQL and Excel 2nd Edition,' as it is designed for beginners. The authors introduce fundamental concepts and gradually advance to more complex topics, ensuring a comprehensive learning experience. Users will appreciate the clear explanations and illustrative examples that build foundational knowledge, making it accessible for those new to data analysis while still being beneficial for more experienced readers seeking to refine their skills.
  • question: How are SQL and Excel integrated in this book?

    répondre: The book emphasizes the integration of SQL and Excel through practical examples that demonstrate how to import, query, and analyze data in Excel from SQL databases. This integration allows readers to understand how to capitalize on the strengths of both tools, providing techniques to streamline the data analysis process. For instance, one might use SQL for querying large datasets efficiently while leveraging Excel’s visualization tools to present the findings, enhancing overall analytical efficiency and effectiveness in business analytics.
  • question: What types of data analysis can I perform using the techniques in this book?

    répondre: Using 'Data Analysis Using SQL and Excel 2nd Edition,' you can perform a variety of data analyses including data cleaning, transformation, and visualization. Techniques covered include trend analysis, comparison of data sets, performance metrics assessment, as well as predictive analytics. Whether you are interested in sales trends, financial forecasts, or operational efficiencies, the skills and workflows taught in this book equip you to analyze and interpret data effectively, helping guide strategic business decisions.
  • question: Are there exercises or practical examples included in the book?

    répondre: Yes, the book includes a wide range of exercises and practical examples designed to reinforce the concepts taught. Each chapter features hands-on projects that enable readers to apply what they've learned, ranging from beginner-level tasks to advanced analytical challenges. These exercises not only facilitate a deeper understanding of the material but also encourage readers to tackle real-world data scenarios, ensuring that they can translate theoretical knowledge into practical analysis skills applicable in their workplaces.
  • question: Can this book be useful for people not working in IT or data analytics?

    répondre: Absolutely! 'Data Analysis Using SQL and Excel 2nd Edition' is not just for those in IT or data analytics; it is beneficial for anyone in business roles that rely on data interpretation. Professionals in sales, marketing, finance, and operations will find the techniques invaluable for making data-driven decisions. By learning to analyze datasets effectively, readers can enhance their ability to communicate insights and recommendations to stakeholders, which is a vital skill across various industries.
  • question: What distinguishes the 2nd edition from earlier versions or other books?

    répondre: The 2nd edition of 'Data Analysis Using SQL and Excel' includes updated content that reflects the latest practices in data analysis and incorporates new features from recent versions of SQL and Excel. It also offers enhanced examples, exercises, and case studies that reflect current industry standards and real-world applications. This makes it a more relevant and practical guide for today’s data analysts compared to earlier editions or other similar titles in the market.
  • question: Where can I buy Data Analysis Using SQL and Excel 2nd Edition in Gabon?

    répondre: You can purchase 'Data Analysis Using SQL and Excel 2nd Edition' through Ubuy, a trusted online platform known for its extensive selection of books and learning materials. Ubuy operates in Gabon, making it convenient for you to order the book and have it delivered directly to your address. The platform offers a user-friendly shopping experience, ensuring that you can easily find the book and explore similar titles to enhance your learning journey.

Data Mining Editorial Review

The second edition of "Data Analysis Using SQL and Excel" provides a comprehensive guide for individuals interested in delving into the field of data analysis. The book covers a range of topics, from the basics of SQL to advanced analysis techniques, making it suitable for both beginners and experienced professionals. One of the standout features of the book is its ability to effectively combine SQL queries with Excel data analysis. This allows readers to retrieve data from databases and manipulate it using Excel worksheets, making for a practical and hands-on learning experience. The content of the book is generally well-received, with readers praising the quality of the queries and the sound logic presented by the author. The book also provides information about the different flavors of SQL, which is appreciated by readers looking for a comprehensive understanding of the subject. However, there are some criticisms that should be noted. One recurring issue mentioned by reviewers is the presence of numerous errors in the SQL examples provided in the book. Some readers have found missing commas and other errors in the queries, emphasizing the need for readers to have a solid grasp of SQL basics before attempting to run the queries verbatim. Additionally, there are some complaints about the quality of the exposition in the book. Some reviewers mention that the author's presentation of ideas is somewhat careless and confusing, particularly when it comes to basic statistical concepts. This may make it difficult for some readers to fully grasp certain topics. Another concern mentioned by a reviewer is the compatibility of the book's SQL script file with different operating systems. Specifically, the reviewer mentions having trouble setting up the downloadable data files into SQL Server on a Mac, which they attribute to the author's focus on Windows-based PCs. They suggest that future editions of the book should include instructions for both Windows and OS X environments to avoid such issues. In conclusion, "Data Analysis Using SQL and Excel 2nd Edition" offers a valuable resource for individuals interested in data analysis. While there may be some errors in the SQL examples and potential confusion in the presentation of ideas, the book provides a practical and engaging approach to learning data analysis techniques.

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Avantages

  • Practical combination of SQL queries and Excel data analysis
  • Comprehensive coverage of different flavors of SQL
  • Engaging content and logical queries

Les inconvénients

  • Presence of errors in SQL examples

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Caractéristiques et avantages

  • 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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