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