- Self-Paced Study Guide – Print (DA0-001)
- 100% coverage of the Data+ (DA0-001) exam objectives
- Review questions at the end of each lesson
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What’s included
Designed for self-paced learners, this fully illustrated book covers all the Data+ (DA0-001) exam objectives and is packed with informative and accessible content. Includes the following:
- Content aligned to work in the real world - Lessons refer to functional areas within the job role while Topics relate to discrete job tasks
- Review questions at the end of each topic to confirm understanding
- Comprehensive glossary with important terms and acronyms
What you’ll learn
The Official CompTIA Data+ Study Guide (DA0-001) has been developed by CompTIA for the CompTIA certification candidate. Rigorously evaluated to validate coverage of the CompTIA Data+ (DA0-001) exam objectives, The Official CompTIA Data+ Study Guide teaches learners the knowledge and skills required to transform business requirements in support of data-driven decisions by mining data, manipulating data, applying basic statistical methods, and analyzing complex data sets while adhering to governance and quality standards throughout the entire data lifecycle. In addition, it will help prepare candidates to take the CompTIA Data+ certification exam.
After reading the text you will be able to:
- Identify Basic Concepts of Data Schemas
- Understand Different Data Systems
- Understand Types and Characteristics of Data
- Compare and Contrast Different Data Structures, Formats, and Markup Languages
- Explain Data Integration and Collection Methods
- Identify Common Reasons for Cleansing and Profiling Data
- Execute Different Data Manipulation Techniques
- Explain Common Techniques for Data Manipulation and Optimization
- Apply Descriptive Statistical Methods
- Describe Key Analysis Techniques
- Understand the Use of Different Statistical Methods
- Use the Appropriate Type of Visualization
- Express Business Requirements in a Report Format
- Design Components for Reports and Dashboards
- Distinguish Different Report Types
- Summarize the Importance of Data Governance
- Apply Quality Control to Data
- Explain Master Data Management Concepts
Accessing the Course Materials
Print books are shipped within 2 business days.
Product Information
Pub. Date: 02/28/2022
Author: Robin E. Hunt, ThinkData Solutions, Inc.
Pages: 444
ISBN: 978-1-64274-393-7
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