Course Overview
Learning Objectives
Course Details
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
Identifying Common Data Analytics Tools
Mapping Course Content to CompTIA Data+ (DA0-001)
Learning Objectives
Data Concepts and Environments
Data Mining
Data Analysis
Visualization
Data Governance| Quality| & Controls
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):