CompTIA Data+ Study Guide: Exam DA0-001
- Length: 368 pages
- Edition: 1
- Language: English
- Publisher: Sybex
- Publication Date: 2022-04-12
- ISBN-10: 1119845254
- ISBN-13: 9781119845256
- Sales Rank: #48868 (See Top 100 Books)
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.
Cover Table of Contents Title Page Copyright Dedication Acknowledgments About the Authors About the Technical Editor Introduction The Data+ Exam What Does This Book Cover? Exam DA0-001 Exam Objectives DA0-001 Certification Exam Objective Map Assessment Test Answers to Assessment Test Chapter 1: Today's Data Analyst Welcome to the World of Analytics Careers in Analytics The Analytics Process Analytics Techniques Data Governance Analytics Tools Summary Chapter 2: Understanding Data Exploring Data Types Common Data Structures Common File Formats Summary Exam Essentials Review Questions Chapter 3: Databases and Data Acquisition Exploring Databases Database Use Cases Data Acquisition Concepts Working with Data Summary Exam Essentials Review Questions Chapter 4: Data Quality Data Quality Challenges Data Manipulation Techniques Managing Data Quality Summary Exam Essentials Review Questions Chapter 5: Data Analysis and Statistics Fundamentals of Statistics Descriptive Statistics Inferential Statistics Analysis Techniques Summary Exam Essentials Review Questions Chapter 6: Data Analytics Tools Spreadsheets Programming Languages Statistics Packages Machine Learning Analytics Suites Summary Exam Essentials Review Questions Chapter 7: Data Visualization with Reports and Dashboards Understanding Business Requirements Understanding Report Design Elements Understanding Dashboard Development Methods Exploring Visualization Types Comparing Report Types Summary Exam Essentials Review Questions Chapter 8: Data Governance Data Governance Concepts Understanding Master Data Management Summary Exam Essentials Review Questions Appendix: Answers to the Review Questions Chapter 2: Understanding Data Chapter 3: Databases and Data Acquisition Chapter 4: Data Quality Chapter 5: Data Analysis and Statistics Chapter 6: Data Analytics Tools Chapter 7: Data Visualization with Reports and Dashboards Chapter 8: Data Governance Index End User License Agreement
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