CompTIA Data+

Jobs that use CompTIA Data+

- Data Analyst
- Reporting Analyst
- Service Desk Analyst
- Business Intelligence Analyst
- Marketing Analyst
- Financial Analyst
- Research Analyst

After completing the course, you will be able to:

• Build a foundation in modern data concepts so you can confidently navigate analytics tools and data sources in any organization.
• Transform, clean, and organize raw data to make it reliable and useful for analysis.
• Apply statistical methods to extract trends, uncover insights, and support business decisions.
• Use data visualizations and dashboards to translate complex results into presentations anyone can understand.
• Maintain data quality, ensure compliance, and protect sensitive information in alignment with industry standards.
• Solve data problems, validate reports, and resolve analytics issues as they arise on the job.
  

1.0 Summarizing Database Concepts
2.0 Comparing and Contrasting Different Data Systems
3.0 Recognizing AI’s Impact on Data Projects
4.0 Distinguishing Markup Languages and Data Analytics Tools
5.0 Using Data Acquisition Methods
6.0 Applying Quality Control to Data
7.0 Profiling and Cleansing Data
8.0 Executing Data Manipulation Techniques
9.0 Building Queries to Model Data
10.0 Preparing for Data Analysis
11.0 Applying Descriptive Statistical Methods
12.0 Illustrating Different Statistical Methods
13.0 Summarizing Business Requirements in Report Format
14.0 Using the Appropriate Type of Visualization
15.0 Designing Components for Reports and Dashboards
16.0 Preparing for the Delivery and Consumption of Reports
17.0 Summarizing the Importance of Data Governance
18.0 Explaining Data Management Concepts
19.0 Troubleshooting Issues and Measuring Performance

LABS

• Exploring the Lab Environment
• Navigating and Understanding Database Design
• Understanding Data Types and Conversion
• Demonstrating Data Structure Types and SQL Statements
• Working with Different File Formats
• Using Public Data
• Leveraging a Public API
• Performing Web Scraping
• Profiling Data Sets
• Addressing Redundant and Duplicated Data
• Addressing Missing Values
• Preparing Data for Use
• Filtering Dashboard Data
• Working with Queries and Join Types
• Recoding Data
• Executing Data Manipulation Language (DML)
• Using Measures of Central Tendency
• Using Measures of Variability
• Analyzing Data
• Building Visuals to Make an Impact
• Applying Mapping Techniques with Geographical Data
• Using Visuals to Tell a Story
• Applying Dashboard Design Tools to Enhance Visualizations
• Visualizing Data
• Building an Ad-Hoc Report
• De-Identifying Records
• Building Queries and Transforming Data
• Ensuring Data Integrity with Constraints

Recommendation:

• 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
  

• Exam version: V2
• Exam series code: DA0-002
• Number of questions: Maximum of 90 (multiple-choice and performance-based)
• Duration: 90 minutes
• Passing score: 675 (on a scale of 100–900)
• Languages: English
• Recommended experience: 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
• Accreditation and benefits: ISO accredited by the ANSI National Accreditation Board (ANAB), and mapped to the NICE Framework Data Analyst (IO-WRL-001) work role.
• Retirement: Usually three years after launch (estimated 2028)

Certification Title: CompTIA Data+