WordPress Web Design For Dummies
by Sabin-Wilson, Lisa
Series: For Dummies Edition statement:2nd Published by : John Wiley & Sons, Inc. (Hoboken, New Jersey) Physical details: 374 Pages 24x18 cm | PB ISBN:9781118546611.| Item type | Current location | Collection | Call number | Status | Date due | Barcode |
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Books
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General Stacks | Non-fiction | 006.7 S113W 2013 (Browse shelf) | Available | 36956 |
Includes Index and Illustrations.
In this updated new edition, bestselling For Dummies author and WordPress expert Lisa Sabin-Wilson makes it easy for anyone with a basic knowledge of the WordPress software to create a custom site using complementary technologies such as CSS, HTML, PHP, and MySQL. You'll not only get up to speed on essential tools and technologies and further advance your own design skills, this book also gives you pages of great case studies, so you can see just how other companies and individuals are creating compelling, customized, and cost-effective websites with WordPress.
Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including:
Model creation, validity testing, and interpretation
Effective communication of findings
Available tools, both paid and open-source
Data selection, transformation, and evaluation
Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining.
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