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by Mike Chapple (Author), Sharif Nijim (Author)
Build a solid foundation in data analysis skills and pursue a coveted Data+ certification with this intuitive study guide
CompTIA Data+ Study Guide: Exam DA0-001 delivers easily accessible and actionable instruction for achieving data analysis competencies required for the job and on the CompTIA Data+ certification exam. You'll learn to collect, analyze, and report on various types of commonly used data, transforming raw data into usable information for stakeholders and decision makers.
With comprehensive coverage of data concepts and environments, data mining, data analysis, visualization, and data governance, quality, and controls, this Study Guide offers:
- All the information necessary to succeed on the exam for a widely accepted, entry-level credential that unlocks lucrative new data analytics and data science career opportunities
- 100% coverage of objectives for the NEW CompTIA Data+ exam
- Access to the Sybex online learning resources, with review questions, full-length practice exam, hundreds of electronic flashcards, and a glossary of key terms
Ideal for anyone seeking a new career in data analysis, to improve their current data science skills, or hoping to achieve the coveted CompTIA Data+ certification credential, CompTIA Data+ Study Guide: Exam DA0-001 provides an invaluable head start to beginning or accelerating a career as an in-demand data analyst.
Back Jacket
Your efficient and complete guide to preparing for the CompTIA Data+ certification exam
The CompTIA(R) Data+(R) Study Guide is your one-stop resource for complete coverage of the DA0-001 exam. CompTIA Data+ validates certified professionals have the skills required to facilitate data-driven business decisions, including mining data, manipulating data, visualizing and reporting data, applying basic statistical methods, and analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle. This Sybex Study Guide covers 100% of the DA0-001 objective domains. Focused content validates and measures exam readiness, and real-world examples and scenarios, exercises, and chapter review questions get you up to speed smarter and faster than any other study resource. Use multiple devices to access the Sybex online learning environment to reinforce and retain what you've learned. Get ready for the CompTIA Data+ exam with Sybex, the most trusted name in professional tech education.
Coverage of 100% of all exam objectives in this Study Guide means you'll be ready for:
- Data Concepts and Environments
- Data Mining
- Data Analysis
- Data Visualization
- Data Governance, Quality, and Controls
ABOUT THE COMPTIA DATA+ CERTIFICATION
CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. The certification validates the data analytics skills and competencies that are needed to organize, understand, and act on relevant data.
Interactive learning environment
Take your exam prep to the next level with Sybex's superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to:
- Interactive test bank with 2 practice exams to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you're ready to take the certification exam.
- 100 electronic flashcards to reinforce learning and last-minute prep before the exam
- Comprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared
Author Biography
ABOUT THE AUTHORS
Mike Chapple, PhD, is Teaching Professor of IT, Analytics, and Operations at the University of Notre Dame. He's a technology professional and educator with over 20 years of experience. Mike provides certification resources at his website, CertMike.com.
Sharif Nijim is Assistant Teaching Professor of IT, Analytics, and Operations in the Mendoza College of Business at the University of Notre Dame. He teaches undergraduate and graduate courses on cloud computing, business analytics, and information technology.
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