Название: CompTIA Data+ DA0-001 Exam CramАвтор: Akhil Behl, Siva G. Subramanian
Издательство: Pearson Education, Inc.
Год: 2023
Страниц: 528
Язык: английский
Формат: epub
Размер: 17.7 MB
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 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
Contents:
Introduction
Chapter 1. Understanding Databases and Data Warehouses
Chapter 2. Understanding Database Schemas and Dimensions
Chapter 3. Data Types and Types of Data
Chapter 4. Understanding Common Data Structures and File Formats
Chapter 5. Understanding Data Acquisition and Monetization
Chapter 6. Cleansing and Profiling Data
Chapter 7. Understanding and Executing Data Manipulation
Chapter 8. Understanding Common Techniques for Data Query Optimization and Testing
Chapter 9. The (Un)Common Data Analytics Tools
Chapter 10. Understanding Descriptive and Inferential Statistical Methods
Chapter 11. Exploring Data Analysis and Key Analysis Techniques
Chapter 12. Approaching Data Visualization
Chapter 13. Exploring the Different Types of Reports and Dashboards
Chapter 14. Data-Driven Decision Making: Leveraging Charts, Graphs, and Reports
Chapter 15. Data Governance Concepts: Ensuring a Baseline
Chapter 16. Applying Data Quality Control
Chapter 17. Understanding Master Data Management (MDM) Concepts
Chapter 18. Getting Ready for the CompTIA Data+ Exam
Index
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