CompTIA
Data +
CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making.
COMPTIA DATA+ GIVES YOU THE CONFIDENCE TO BRING DATA ANALYSIS TO LIFE.
COMPTIA DATA+ GIVES YOU THE CONFIDENCE TO BRING DATA ANALYSIS TO LIFE.
Better Analyze and Interpret Data
Mine data more effectively. Analyze with rigor. Avoid confounding results.
Communicate Insights
Highlight what’s important in reports that persuade, not confuse. Help drive better data-driven decisions.
Demonstrate Competency
Make yourself a valuable team member. Data literacy means you’re more employable and upwardly mobile
COMPTIA DATA+ PROVES YOU HAVE THE SKILLS REQUIRED TO FACILITATE DATA-DRIVEN BUSINESS DECISIONS.
What Skills Will You Learn?
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
Data Analysis
Gain the ability to apply the appropriate descriptive statistical methods and summarize types of analysis and critical analysis techniques
Visualization
Learn how to translate business requirements to create 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
Jobs You Can Land With CompTIA Data+
Duration
Total Duration of the course is 40 Hours
Requirement
CompTIA recommends 18–24 months of experience in a report/business analyst job role, exposure to databases and analytical tools, a basic understanding of statistics, and data visualization experience
Topics
1: Identifying Basic Concepts of Data Schemas
2: Understanding Different Data Systems
3: Understanding Types and Characteristics of Data
4: Comparing and Contrasting Different Data Structures, Formats, and Markup Languages
5: Explaining Data Integration and Collection Methods
6: Identifying Common Reasons for Cleansing and Profiling Data
7: Executing Different Data Manipulation Techniques
8: Explaining Common Techniques for Data Manipulation and Optimization
9: Applying Descriptive Statistical Methods
10: Describing Key Analysis Techniques
11: Understanding the Use of Different Statistical Methods
12: Using the Appropriate Type of Visualization
13: Expressing Business Requirements in a Report Format
14: Designing Components for Reports and Dashboards
15: Distinguishing Different Report Types
16: Summarizing the Importance of Data Governance
17: Applying Quality Control to Data
18: Explaining Master Data Management Concepts