What’s included

• Content mapped to Data+ exam objectives (DA0-001)
• Teaching tips and integrated solutions to review activities
• Video demonstrations of key activities
• Practice questions that check for understanding
• PowerPoint slides to assist in classroom delivery
• Access to the CompTIA Learning Center

What you’ll learn

The Official CompTIA Data+ Instructor and Student Guides (DA0-001) have been developed by CompTIA for the CompTIA Data+ candidate. Rigorously evaluated to validate coverage of the CompTIA Data+ (DA0-001) exam objectives, The Official CompTIA Data+ Instructor and Student Guides 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.

Accessing the Course Materials

An access key and instructions for accessing the CompTIA Learning Center, the online platform through which the eBook and all digital materials as described above are delivered, are emailed within 3-4 hours of purchase. The eBook is provided in an interactive online version.

Access keys must be redeemed within 12 months of purchase

Product Information

Pub. Date: 2022-02-28

Author(s): Robin E. Hunt, ThinkData Solutions, Inc.

ISBN: 978-1-64274-394-4

Table of Contents

Lesson 1: Identifying Basic Concepts of Data Schemas

Lesson 2: Understanding Different Data Systems

Lesson 3: Understanding Types and Characteristics of Data

Lesson 4: Comparing and Contrasting Different Data Structures, Formats, and Markup Languages

Lesson 5: Explaining Data Integration and Collection Methods

Lesson 6: Identifying Common Reasons for Cleansing and Profiling Data

Lesson 7: Executing Different Data Manipulation Techniques

Lesson 8: Explaining Common Techniques for Data Manipulation and Optimization

Lesson 9: Applying Descriptive Statistical Methods

Lesson 10: Describing Key Analysis Techniques

Lesson 11: Understanding the Use of Different Statistical Methods

Lesson 12: Using the Appropriate Type of Visualization

Lesson 13: Expressing Business Requirements in a Report Format

Lesson 14: Designing Components for Reports and Dashboards

Lesson 15: Distinguishing Different Report Types

Lesson 16: Summarizing the Importance of Data Governance

Lesson 17: Applying Quality Control to Data

Lesson 18: Explaining Master Data Management Concepts

Appendix A: Identifying Common Data Analytics Tools

Appendix B: Mapping Course Content to CompTIA Data+ (DA0-001)

Solutions (in the Student and Study Guides only; solutions are presented inline in the Instructor Guide)

Glossary

Index