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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.
Data is one of the most valuable assets in many facets of life. Data has become the single most precious resource and has been leveraged very well by organizations of all sizes to their advantage—both in terms of monetization and in getting an edge over the competition. Data comes in various formats and forms, and you will get to know more about them in Chapter 3, “Data Types and Types of Data.” Moreover, where and how data is stored and utilized are important aspects of the data life cycle, which is covered in Chapter 1, “Understanding Databases and Data Warehouses,” and Chapter 2, “Understanding Database Schemas and Dimensions.”
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 its 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
Understanding Databases and Data Warehouses
Understanding Database Schemas and Dimensions
Data Types and Types of Data
Understanding Common Data Structures and File Formats
Understanding Data Acquisition and Monetization
Cleansing and Profiling Data
Understanding and Executing Data Manipulation
Understanding Common Techniques for Data Query Optimization and Testing
The (Un)Common Data Analytics Tools
Understanding Descriptive and Inferential Statistical Methods
Exploring Data Analysis and Key Analysis Techniques
Approaching Data Visualization
Exploring the Different Types of Reports and Dashboards
Data-Driven Decision Making: Leveraging Charts, Graphs, and Reports
Data Governance Concepts: Ensuring a Baseline
Applying Data Quality Control
Understanding Master Data Management (MDM) Concepts
Getting Ready for the CompTIA Data  Exam