IT-Trainer Jobs und Stellenangebote: CompTIA Data+

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Agenda

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

Data Mining

• Explain data acquisition concepts
• Identify common reasons for cleansing and profiling datasets
• Execute data manipulation techniques
• Explain common techniques for data manipulation and query optimization

Data Analysis

• 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

Visualization

• 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

• Summarize important data governance concepts
• Apply data quality control concepts
• Explain master data management (MDM) concepts