CompTIA Data+ DA0-001 Course Overview
Enroll for 5-day CompTIA Data+ DA0-001 course from this course Solutions accredited by CompTIA. In this course you will learn skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle.
Target Audience:
- Data Analyst
- Clinical Analyst
- Reporting Analyst
- Marketing Analyst
- Business Data Analyst
- Operations Analyst
- Business Intelligence Analyst
Learning Objectives:
After completing this course, you will be able to:
- 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
Module 1: Data Concepts and Environments
- Identify basic concepts of data schemas and dimensions.
- Compare and contrast different data types
- Compare and contrast common data structures and file formats
- Explain data acquisition concepts
- Identify common reasons for cleansing and profiling datasets
- Given a scenario, execute data manipulation techniques
- Explain common techniques for data manipulation and query optimization
- Given a scenario, apply the appropriate descriptive statistical methods
- Explain the purpose of inferential statistical methods
- Summarize types of analysis and key analysis techniques
- Identify common data analytics tools
- Given a scenario, translate business requirements to form a report.
- Given a scenario, use appropriate design components for reports and dashboards
- Given a scenario, use appropriate methods for dashboard development
- Given a scenario, apply the appropriate type of visualization
- Compare and contrast types of reports
Module 5: Data Governance, Quality, and Controls
- Summarize important data governance concepts
- Given a scenario, apply data quality control concepts
- Explain master data management (MDM) concepts