Title
Data Analysis Using Sql And Excel
Delivery time: 8-12 business days (International)
A Practical Guide To Data Mining Using Sql And Exceldata Analysis Using Sql And Excel, 2Nd Edition Shows You How To Leverage The Two Most Popular Tools For Data Query And Analysissql And Excelto Perform Sophisticated Data Analysis Without The Need For Complex And Expensive Data Mining Tools. Written By A Leading Expert On Business Data Mining, This Book Shows You How To Extract Useful Business Information From Relational Databases. You'Ll Learn The Fundamental Techniques Before Moving Into The Where And Why Of Each Analysis, And Then Learn How To Design And Perform These Analyses Using Sql And Excel. Examples Include Sql And Excel Code, And The Appendix Shows How Nonstandard Constructs Are Implemented In Other Major Databases, Including Oracle And Ibm Db2/Udb. The Companion Website Includes Datasets And Excel Spreadsheets, And The Book Provides Hints, Warnings, And Technical Asides To Help You Every Step Of The Way.Data Analysis Using Sql And Excel, 2Nd Edition Shows You How To Perform A Wide Range Of Sophisticated Analyses Using These Simple Tools, Sparing You The Significant Expense Of Proprietary Data Mining Tools Like Sas. Understand Core Analytic Techniques That Work With Sql And Excel Ensure Your Analytic Approach Gets You The Results You Need Design And Perform Your Analysis Using Sql And Exceldata Analysis Using Sql And Excel, 2Nd Edition Shows You How To Best Use The Tools You Already Know To Achieve Expert Results.
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
We accept payments with :
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Frequently Asked Questions
- Q: What is the main focus of 'Data Analysis Using SQL and Excel'? A: The book focuses on leveraging SQL and Excel for sophisticated data analysis without needing complex data mining tools.
- Q: Who is the author of this book? A: The author of 'Data Analysis Using SQL and Excel' is Gordon S. Linoff.
- Q: What edition is this book? A: This is the 2nd edition of 'Data Analysis Using SQL and Excel'.
- Q: When was this book published? A: The book was published on December 14, 2015.
- Q: How many pages does the book contain? A: The book contains 800 pages.
- Q: Is 'Data Analysis Using SQL and Excel' suitable for beginners? A: Yes, the book starts with fundamental techniques, making it suitable for beginners as well as experienced users.
- Q: What tools do I need to follow along with the examples in the book? A: You will need SQL and Excel to follow along with the examples provided in the book.
- Q: Does the book provide any additional resources? A: Yes, the companion website includes datasets and Excel spreadsheets for practical application.
- Q: What is the item condition of this book? A: The item condition of this book is new.
- Q: What category does this book fall under? A: The book falls under the category of Data Mining.