CompTIA Data+ Study Guide

CompTIA Data+ Study Guide

by Mike Chapple, Sharif Nijim
Released April 2022
Publisher(s): Sybex
ISBN: 9781119845256

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Book description

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.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Dedication
  5. Acknowledgments
  6. About the Authors
  7. About the Technical Editor
  8. Introduction
    1. The Data+ Exam
    2. What Does This Book Cover?
    3. Exam DA0-001 Exam Objectives
    4. DA0-001 Certification Exam Objective Map
    5. Assessment Test
    6. Answers to Assessment Test
  9. Chapter 1: Today's Data Analyst
    1. Welcome to the World of Analytics
    2. Careers in Analytics
    3. The Analytics Process
    4. Analytics Techniques
    5. Data Governance
    6. Analytics Tools
    7. Summary
  10. Chapter 2: Understanding Data
    1. Exploring Data Types
    2. Common Data Structures
    3. Common File Formats
    4. Summary
    5. Exam Essentials
    6. Review Questions
  11. Chapter 3: Databases and Data Acquisition
    1. Exploring Databases
    2. Database Use Cases
    3. Data Acquisition Concepts
    4. Working with Data
    5. Summary
    6. Exam Essentials
    7. Review Questions
  12. Chapter 4: Data Quality
    1. Data Quality Challenges
    2. Data Manipulation Techniques
    3. Managing Data Quality
    4. Summary
    5. Exam Essentials
    6. Review Questions
  13. Chapter 5: Data Analysis and Statistics
    1. Fundamentals of Statistics
    2. Descriptive Statistics
    3. Inferential Statistics
    4. Analysis Techniques
    5. Summary
    6. Exam Essentials
    7. Review Questions
  14. Chapter 6: Data Analytics Tools
    1. Spreadsheets
    2. Programming Languages
    3. Statistics Packages
    4. Machine Learning
    5. Analytics Suites
    6. Summary
    7. Exam Essentials
    8. Review Questions
  15. Chapter 7: Data Visualization with Reports and Dashboards
    1. Understanding Business Requirements
    2. Understanding Report Design Elements
    3. Understanding Dashboard Development Methods
    4. Exploring Visualization Types
    5. Comparing Report  Types
    6. Summary
    7. Exam Essentials
    8. Review Questions
  16. Chapter 8: Data Governance
    1. Data Governance Concepts
    2. Understanding Master Data Management
    3. Summary
    4. Exam Essentials
    5. Review Questions
  17. Appendix: Answers to the Review Questions
    1. Chapter 2: Understanding Data
    2. Chapter 3: Databases and Data Acquisition
    3. Chapter 4: Data Quality
    4. Chapter 5: Data Analysis and Statistics
    5. Chapter 6: Data Analytics Tools
    6. Chapter 7: Data Visualization with Reports and Dashboards
    7. Chapter 8: Data Governance
  18. Index
  19. End User License Agreement

Product information

  • Title: CompTIA Data+ Study Guide
  • Author(s): Mike Chapple, Sharif Nijim
  • Release date: April 2022
  • Publisher(s): Sybex
  • ISBN: 9781119845256