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CompTIA Data+ DA0-001 Exam Cram

Author Akhil Behl , Siva G. Subramanian
Release Date: 2023/01/01
ISBN: 9780137637362
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CompTIA® Data+ DA0-001 Exam Cram is an all-inclusive study guide designed to help you pass the CompTIA Data+ DA0-001 exam. Prepare for test day success with complete coverage of exam objectives and topics, plus hundreds of realistic practice questions. Extensive prep tools include quizzes, Exam Alerts, and our essential last-minute review CramSheet. The powerful Pearson Test Prep practice software provides real-time assessment and feedback with two complete exams.

Covers the critical information needed to score higher on your Data+ DA0-001 exam!

  • Understand data concepts, environments, mining, analysis, visualization, governance, quality, and controls

  • Work with databases, data warehouses, database schemas, dimensions, data types, structures, and file formats

  • Acquire data and understand how it can be monetized

  • Clean and profile data so it;s more accurate, consistent, and useful

  • Review essential techniques for manipulating and querying data

  • Explore essential tools and techniques of modern data analytics

  • Understand both descriptive and inferential statistical methods

  • Get started with data visualization, reporting, and dashboards

  • Leverage charts, graphs, and reports for data-driven decision-making

  • Learn important data governance concepts

Table of Contents

  1. Cover Page
  2. About This eBook
  3. Title Page
  4. Copyright Page
  5. Pearson’s Commitment to Diversity, Equity, and Inclusion
  6. Credits
  7. Contents at a Glance
  8. Table of Contents
  9. About the Author
  10. Dedication
  11. Acknowledgments
  12. About the Technical Editor
  13. We Want to Hear from You!
  14. Reader Services
  15. Introduction
  16. Chapter 1. Understanding Databases and Data Warehouses
  17. Chapter 2. Understanding Database Schemas and Dimensions
  18. Chapter 3. Data Types and Types of Data
  19. Chapter 4. Understanding Common Data Structures and File Formats
  20. Chapter 5. Understanding Data Acquisition and Monetization
  21. Chapter 6. Cleansing and Profiling Data
  22. Chapter 7. Understanding and Executing Data Manipulation
  23. Chapter 8. Understanding Common Techniques for Data Query Optimization and Testing
  24. Chapter 9. The (Un)Common Data Analytics Tools
  25. Chapter 10. Understanding Descriptive and Inferential Statistical Methods
  26. Chapter 11. Exploring Data Analysis and Key Analysis Techniques
  27. Chapter 12. Approaching Data Visualization
  28. Chapter 13. Exploring the Different Types of Reports and Dashboards
  29. Chapter 14. Data-Driven Decision Making: Leveraging Charts, Graphs, and Reports
  30. Chapter 15. Data Governance Concepts: Ensuring a Baseline
  31. Chapter 16. Applying Data Quality Control
  32. Chapter 17. Understanding Master Data Management (MDM) Concepts
  33. Chapter 18. Getting Ready for the CompTIA Data+ Exam
  34. Index
  35. Access Card
  36. Where are the companion content files? - Register
  37. Tearcard
  38. Code Snippets