Duration
5 days
Overview
CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making.
As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive priorities and lead business decision-making.
CompTIA Data+ certification validates certified professionals have the skills required to facilitate data-driven business decisions, including:
- Mining data
- Manipulating data
- Visualizing and reporting data
- Applying basic statistical methods
- Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle
Course Objectives
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.
Day 1
9:00am - 10:30am
Introduction
10:30am - 10:45am Morning Break
10:45am - 12:30pm
Lesson 1: Identifying Basic Concepts of Data Schemas
12:30pm - 1:30pm Lunch Break
1:30pm - 3:30pm
Lesson 2: Understanding Different Data Systems
3:30pm - 3:45pm Afternoon Break
3:45pm - 5:00pm
Day 2
9:00am - 10:30am
Lesson 4: Comparing and Contrasting Different Data Structures, Formats, and Markup Languages
10:30am - 10:45am Morning Break
10:45am - 12:30pm
Lesson 5: Explaining Data Integration and Collection Methods
12:30pm - 1:30pm Lunch Break
1:30pm - 3:30pm
Lesson 6: Identifying Common Reasons for Cleansing and Profiling Data
3:30pm - 3:45pm Afternoon Break
3:45pm - 5:00pm
DAY 3
9:00am - 10:30am
Lesson 8: Explaining Common Techniques for Data Manipulation and Optimization
10:30am - 10:45am Morning Break
10:45am - 12:30pm
Lesson 9: Applying Descriptive Statistical Methods
12:30pm - 1:30pm Lunch Break
1:30pm - 3:30pm
Lesson 10: Describing Key Analysis Techniques
3:30pm - 3:45pm Afternoon Break
3:45pm - 5:00pm
Day 4
9:00am - 10:30am
Lesson 12: Using the Appropriate Type of Visualization
10:30am - 10:45am Morning Break
10:45am - 12:30pm
Lesson 13: Expressing Business Requirements in a Report Format
12:30pm - 1:30pm Lunch Break
1:30pm - 3:30pm
Lesson 14: Designing Components for Reports and Dashboards
3:30pm - 3:45pm Afternoon Break
3:45pm - 5:00pm
Day 5
9:00am - 10:30am
Lesson 16: Summarizing the Importance of Data Governance
10:30am - 10:45am Morning Break
10:45am - 12:30pm
Lesson 17: Applying Quality Control to Data
12:30pm - 1:30pm Lunch Break
1:30pm - 3:30pm
Lesson 18: Explaining Master Data Management Concepts
3:30pm - 3:45pm Afternoon Break
3:45pm - 5:00pm
Summary
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
Programme scope, delivery arrangements and suitability are confirmed during enquiry.