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 CompTIA A+ Practice Tests: Exam 220-901 and Exam 220-902
Bring your A game to the CompTIA A+ Certification exam
Practice tests are an excellent way for certification candidates to prepare for taking exams, and the well-crafted questions and detailed answers you'll find inside will help give you the confidence to succeed on exam day. With 100% coverage of Exam 220-901 and Exam... |  |  A+ Certification Training KitThe A+ Certification program was created by a consortium of companies, including Microsoft, to define baseline knowledge and skill levels for IT professionals who support hardware and software based on the Intel platform. Fully updated to cover the latest operating systems, including Microsoft Windows(r) 2000, the A+ CERTIFICATION TRAINING KIT,... |  |  Sams Teach Yourself JavaScript in 21 Days
The aim of Sams Teach Yourself JavaScript in 21 Days is to tutor the Web-literate novice JavaScripter through to a high level of competency in applying JavaScript to Web pages.
In addition to core uses of client-side JavaScript, Sams Teach Yourself JavaScript in 21 Days also covers emerging topics such as... |
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 A+ Certification Exam Cram 2 (Exam Cram 220-301, Exam Cram 220-302), Second EditionA+ Exam Cram 2 is a study skill enhancement and tutorial, designed to focus on exactly what students need to get A+ certified, with coverage of exams 220-221 and 220-222. It details all the new exam objectives and items in the following areas: Windows 98, Windows 2000, and Windows NT version 4.0. Because the A+ certification is a core competency... |  |  The Coaching Secret: How to be an exceptional coach
Coaching as a field has mushroomed in recent years. Thousands of new coaches enter the field after only completing short and superficial training programmes. The problem with this is that coaching is not i) something you can simply learn in a short programme ii) a superficial practice.
The books available on coaching tend to just... |  |  Data Science Fundamentals for Python and MongoDB
Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate. ... |
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