COURSE OBJECTIVE:
• Data Concepts and Environments
Boost your knowledge in identifying basic concepts of data schemas and dimensions while understanding the difference between common data structures and file formats
• Data Mining
Grow your skills to explain data acquisition concepts, reasons for cleansing and profiling datasets, executing data manipulation, and understanding techniques for data manipulation
• Visualization
Learn how to translate business requirements to form the appropriate visualization in the form of a report or dashboard with the proper design components
• Data Governance, Quality, & Controls
Increase your ability to summarize important data governance concepts and apply data quality control concepts
• Data Analysis
Gain the ability to apply the appropriate descriptive statistical methods and summarize types of analysis and critical analysis techniques
TARGET AUDIENCE:
Jobs that use CompTIA Data+
• Data Analyst
• Clinical Analyst
• Reporting Analyst
• Marketing Analyst
• Business Data Analyst
• Operations Analyst
• Business Intelligence Analyst
COURSE PREREQUISITES:
• 18–24 months of experience in a report/ business analyst job role
• Exposure to databases and analytical tools
• Basic understanding of statistics
• Data visualization experience
COURSE CONTENT:
Data Concepts and Environments – 15%
• Identify basic concepts of data schemas and dimensions
• Compare and contrast different data types
• Compare and contrast common data structures and file formatsData Mining – 25%
• 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 optimizationData Analysis – 23%
• 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 toolsVisualization – 23%
• Translate business requirements to form a report
• Use appropriate design components for reports and dashboards
• Use appropriate methods for dashboard development
• Apply the appropriate type of visualization
• Compare and contrast types of reports
Data Governance, Quality, and Controls 14%
• Summarize important data governance concepts
• Given a scenario, apply data quality control concepts
• Explain master data management (MDM) concepts
FOLLOW ON COURSES:
Not available. Please contact.