CompTIA Certified Data+ Training
About This Course
The course, CompTIA Certified Data+ Training, equips participants with essential skills in data management, including integrating datasets, conducting data mining, and performing statistical analysis to uncover trends and insights. Learn to apply various data manipulation techniques and optimize data usage for efficient processing. Participants will also understand how to interpret sequential patterns and establish meaningful linkages between variables, supporting effective business decision-making.
Additionally, the course covers techniques for presenting data visually and communicating analytical outputs effectively. Topics include designing reports and dashboards, applying quality control measures, and understanding the principles of data governance. This training is ideal for professionals seeking to enhance their data analytics capabilities and drive data-informed decisions.
What You'll Learn
LO1: Integrate multiple datasets to extract and process data efficiently.
LO2: Conduct data mining to uncover and analyze trends using analysis techniques.
LO3: Perform statistical data analysis to derive actionable insights.
LO4: Present analytical outputs visually to communicate data effectively for decision-making.
LO5: Recognize and interpret sequential patterns to establish linkages between variables.
Course Outline:
Topic 1 Data Concepts and Environments
• Identifying Basic Concepts and Data Schemas
• Understanding Different Data Systems
• Understanding Types of Characteristics of Data
• Comparing and Constructing Different Data Structures, Formats, and Markup Languages
Topic 2 Data Mining
• Explaining Data Integration and Collection Methods
• Identifying Common Reasons for Cleansing and Profiling Data
• Executing Different Data Manipulation Techniques
• Explaining Common Techniques for Data Manipulation and Optimization
Topic 3 Data Analysis
• Applying Descriptive Statistical Methods
• Describing Key Analysis Techniques
• Understanding the Use of Different Statistical Methods
Topic 4 Visualization
• Using the Appropriate Type of Visualization
• Expressing Business Requirements in a Report Format
• Designing Components for Reports and Dashboards
• Distinguishing Different Report Types
Topic 5 Data Governance, Quality, and Controls
• Summarizing the Importance of Data Governance
• Applying Quality Control to Data
• Explaining Master Data Management Concepts
Entry Requirements
Knowledge and Skills
• Able to operate using computer functions
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience
Target Age Group: 21-65 years old