Introduction
CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. Data+ is an ideal certification for not only data-specific careers but other career paths outside of IT can also benefit from analytics processes and data analytics knowledge.
CompTIA Data+ gives your team members the confidence to bring data analysis to life. As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analysing, and reporting on data can drive your organization’s priorities and lead business decision-making.
CompTIA Data+ is the only data analyst certification that covers baseline data analytics skills, assesses hands-on abilities and is vendor neutral. Vendor-neutral certifications provide analyst skills needed to perform various job roles regardless of the specific programs and tools being used. Compare this to vendor-specific certifications, which equip your team to work with just one platform (such as SAS, Tableau, or Microsoft).
Audience Profile
Anyone working in a role that analyses business-specific data, provides management with data analytics on business functions, or analyses and monitors dashboards, results and trends can benefit from becoming CompTIA Data+ certified. Its value extends well beyond the IT team to employees in finance, marketing, manufacturing, operations, sales and other departments tasked with data responsibilities.
Individuals who are early career and career- transitioning individuals who may specialise in core business function, have hands-on experience with Data Analytics software (e.g., PowerBI, Tableau) or those who want responsibility for using data to illustrate business operations or performance.
This certification is ideal for professionals beginning or advancing in data-driven roles.
Data+ will benefit the following job roles:
- Data Analyst
- Reporting Analyst
- Service Desk Analyst
- Business Intelligence Analyst
- Marketing Analyst
- Financial Analyst
- Research Analyst
Pre-requisites
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.
Course Objectives
This certification validates that certified professionals have the skills required to facilitate data-driven business decisions, including the knowledge and skills required to transform business requirements in support of data-driven decisions by mining data, manipulating data, applying basic statistical methods, and analysing complex data sets while adhering to governance and quality standards throughout the entire data lifecycle.
After completing the CompTIA Data+ course, delegates will have the skills and knowledge 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
Course Content
| Lesson 1: Summarizing Database Concepts |
- Describe Different Data Structures
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- Identify Relational and Non-Relational Databases
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- Describe the Way We Use Tables, Primary Keys, and Normalization
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- Differentiate Field Data Types
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| Lesson 2: Comparing and Contrasting Different Data Systems |
- Describe Types of Data Processing and Storage Systems
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- Identify Types of Infrastructure
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| Lesson 3: Recognizing AI’s Impact on Data Project |
- Define Artificial Intelligence Concepts
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- Describe Machine Learning
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- Employ Robotic Process Automation
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| Lesson 4: Comparing Languages and Tools for Data |
- Discuss Coding Environments and Languages
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- Identify Markup Languages
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- Identify Common Data Analytics Tools
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| Lesson 5: Using Data Acquisition Methods |
- Identify Different File Formats
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- Integrate Data into Tables
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- Identify Types of Data Systems and Software
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- Explain the Processes of Extracting, Transforming, and Loading Data
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| Lesson 6: Applying Quality Control to Data |
- Recall Characteristics, Rules, and Metrics of Data Quality
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- Perform Methods of Data Validation
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| Lesson 7: Profiling and Cleansing Data |
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- Address Redundant, Duplicated, and Unnecessary Data
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- Address Missing and Null Values
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- Convert Data to Meet Specifications
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| Lesson 8: Executing Data Manipulation Techniques |
- Work with the Whole Data Set
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- Use Functions to Manipulate Data
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- Create and Recode Variables
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| Lesson 9: Building Queries to Model Data |
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§ Transpose and Append Data |
- Update, Insert, and Delete Data
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| Lesson 10: Preparing for Data Analysis |
- Recognize Characteristics of Data
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- Perform Basic Statistical Methods of Analysis
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| Lesson 11: Applying Descriptive Statistical Methods |
- Use Measures of Central Tendency
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- Use Measures of Dispersion
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- Use Frequency and Percentages
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| Lesson 12: Illustrating Different Statistical Methods |
- Explain the Importance of Statistical Tests
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- Utilize Tests and Methods to Determine Relationships Between Variables
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| Lesson 13: Summarizing Business Requirements in a Report Format |
- Determine Communication Approaches
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- Describe Data Source Considerations
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- Prepare for the Delivery of Reports and Dashboards
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| Lesson 14: Using the Appropriate Type of Visualization |
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Build Advanced Visuals |
- Build Maps with Geographical Data
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- Use Visuals to Find or Tell a Story
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| Lesson 15: Designing Components for Reports and Dashboards |
- Choose Report and Dashboard Visuals
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- Use Standard and Written Reporting Elements
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| Lesson 16: Preparing for the Delivery and Consumption of Reports |
- Describe How Updates and Timing Affect Reporting
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- Differentiate Between Types of Reports
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- Prepare for Self-Service Capabilities
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| Lesson 17: Summarizing the Importance of Data Governance |
- Maintain Compliance through Data Governance
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- Explain Access and Security Requirements
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- Employ Privacy and Protection Practices
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| Lesson 18: Explaining Data Management Concepts |
- Explain the Basics of Data Management
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- Describe Data Management Processes
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| Lesson 19: Troubleshooting Issues and Measuring Performance |
- Managing Changes to Data, Databases, and Software
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- Use Common Techniques for Query Optimization
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- Monitor Database Performance
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- Explain User Permissions and Backup Best Practices
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Associated Certifications and Exam
This course will prepare delegates to write the CompTIA Data+ (DA0-002) exam.
Successfully passing this exam counts as a credit to attaining the Official CompTIA Data+ certification.
The CompTIA Data+ exam will certify the successful candidate has the knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards throughout the entire data life cycle.
| Exam Details |
CompTIA Data+ |
| Exam Title |
CompTIA Data+ |
| Number of Questions/Practical Challenges |
90 Questions |
| 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 |
| Test Duration |
1 Hour 30 Minutes |
| Test Format |
Multiple choice questions and performance-based questions. |
| Test Delivery |
Pearson VUE
Testing Centres
Online Testing |
| Availability |
Pearson VUE |
| Exam Prefix |
DA0-002 |
| Passing Score |
720 (on a scale of 900) |
| Retirement |
Three years after date of launch. |
On successful completion of this course students will receive a Torque IT confirmation letter as proof of attendance.
