The Official CompTIA Data+ Instructor Guide - (Exam DA0-001) eBook
The Official CompTIA Data+ Instructor Guide - (Exam DA0-001) eBook
What’s included - This is a physical book.
- 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
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)
Product Information
Pub. Date: 02/28/2022
Author: Robin E. Hunt, ThinkData Solutions, Inc.
ISBN: 978-1-64274-394-4