CompTIA Data+ DA0-001 Exam Cram

CompTIA Data+ DA0-001 Exam Cram

by Akhil Behl, Siva G. Subramanian
Released January 2023
Publisher(s): Pearson IT Certification
ISBN: 9780137637362

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Book description

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
    1. What Is Data?
    2. The Importance of Data
    3. What Is the Importance of Data?
    4. What Are the Sources of Data?
    5. Data Terminology
    6. Target Audience
    7. About the CompTIA Data+ Certification
    8. About This Book
    9. Chapter Format and Conventions
    10. Additional Elements
    11. The Hands-on Approach
    12. Goals for This Book
  16. Chapter 1. Understanding Databases and Data Warehouses
    1. Databases and Database Management Systems
    2. Data Warehouses and Data Lakes
    3. OLTP and OLAP
    4. What Next?
  17. Chapter 2. Understanding Database Schemas and Dimensions
    1. Schema Concepts
    2. Star and Snowflake Schemas
    3. Slowly Changing Dimensions, Keeping Historical Information, and Keeping Current Information
    4. What Next?
  18. Chapter 3. Data Types and Types of Data
    1. Introduction to Data Types
    2. Comparing and Contrasting Different Data Types
    3. Categorical vs. Dimension and Discrete vs. Continuous Data Types
    4. Types of Data: Audio, Video, and Images
    5. What Next?
  19. Chapter 4. Understanding Common Data Structures and File Formats
    1. Structured vs. Unstructured Data
    2. Data File Formats
    3. What Next?
  20. Chapter 5. Understanding Data Acquisition and Monetization
    1. Integration
    2. Data Collection Methods
    3. What Next?
  21. Chapter 6. Cleansing and Profiling Data
    1. Profiling and Cleansing Basics
    2. What Next?
  22. Chapter 7. Understanding and Executing Data Manipulation
    1. Data Manipulation Techniques
    2. What Next?
  23. Chapter 8. Understanding Common Techniques for Data Query Optimization and Testing
    1. Query Optimization
    2. What Next?
  24. Chapter 9. The (Un)Common Data Analytics Tools
    1. Data Analytics Tools
    2. What Next?
  25. Chapter 10. Understanding Descriptive and Inferential Statistical Methods
    1. Introduction to Descriptive and Inferential Analysis
    2. Inferential Statistical Methods
    3. What Next?
  26. Chapter 11. Exploring Data Analysis and Key Analysis Techniques
    1. Process to Determine Type of Analysis
    2. Types of Analysis
    3. What Next?
  27. Chapter 12. Approaching Data Visualization
    1. Business Reports
    2. What Next?
  28. Chapter 13. Exploring the Different Types of Reports and Dashboards
    1. Report Cover Page and Design Elements
    2. Documentation Elements
    3. Dashboard Considerations, Development, and Delivery Process
    4. What Next?
  29. Chapter 14. Data-Driven Decision Making: Leveraging Charts, Graphs, and Reports
    1. Types of Data Visualizations
    2. Reports
    3. What Next?
  30. Chapter 15. Data Governance Concepts: Ensuring a Baseline
    1. Access and Security Requirements
    2. Storage Environment Requirements
    3. Use and Entity Relationship Requirements
    4. Data Classification, Jurisdiction Requirements, and Data Breach Reporting
    5. What Next?
  31. Chapter 16. Applying Data Quality Control
    1. Data Quality Dimensions and Circumstances to Check for Quality
    2. Data Quality Rules and Metrics, Methods to Validate Quality, and Automated Validation
    3. What Next?
  32. Chapter 17. Understanding Master Data Management (MDM) Concepts
    1. Processes
    2. Circumstances for MDM
    3. What Next?
  33. Chapter 18. Getting Ready for the CompTIA Data+ Exam
    1. Getting Ready for the CompTIA Data+ Exam
    2. Tips for Taking the Real Exam
    3. Beyond the CompTIA Data+ Certification
  34. Index
  35. Access Card
  36. Where are the companion content files? - Register
  37. Tearcard
  38. Code Snippets

Product information

  • Title: CompTIA Data+ DA0-001 Exam Cram
  • Author(s): Akhil Behl, Siva G. Subramanian
  • Release date: January 2023
  • Publisher(s): Pearson IT Certification
  • ISBN: 9780137637362