This guide covers all official exam objectives for the CompTIA Data+ certification, focusing on data governance, analysis, visualization, and reporting.
This guide works best as a loop: read a chapter, test yourself with practice questions, look up unfamiliar terms in the glossary, then move to the next chapter.
17 chapters covering every exam objective. Each chapter includes key concepts, exam tips, common traps, comparison tables, and a 5-question quiz at the end.
Start Chapter 1Free timed and untimed practice with instant feedback and full explanations. Pick 10–120 questions per session. Filter by domain to drill your weak areas.
Go to practice testEvery DA0-002term defined and searchable. Use it when a chapter mentions a concept you haven't seen before or want a quick refresher on.
Browse glossaryExam blueprint, domain weights, passing score, duration, cost, and registration links. Start here if you're new to this certification.
View exam guideIntroduction to Data Concepts and Data Governance
Objective 1.1 · Explain data governance principles
Data Life Cycle, Storage, and Data Quality
Objective 1.2 · Describe the data life cycle and data quality dimensions
Data Types, Data Structures, and Metadata
Objective 1.3 · Identify data types, data structures, and metadata
Relational Databases, Normalization, and SQL Basics
Objective 2.1 · Explain database concepts and apply SQL queries
Extracting, Transforming, and Loading (ETL) Data
Objective 2.2 · Explain the ETL process and data integration techniques
Data Cleaning, Profiling, and Preparation
Objective 2.3 · Perform data cleaning and profiling
Master Data Management and Reference Data
Objective 2.4 · Describe master data management and reference data
Descriptive Statistics and Summarizing Data
Objective 3.1 · Calculate descriptive statistics and summarize data
Probability Distributions, Sampling, and Bias
Objective 3.2 · Explain probability, sampling methods, and bias
Hypothesis Testing and Confidence Intervals
Objective 3.3 · Perform hypothesis testing and construct confidence intervals
Correlation and Regression Analysis
Objective 3.4 · Explain correlation and regression analysis
Data Visualization Principles and Chart Types
Objective 4.1 · Select appropriate chart types and design principles for data visualization
Creating Dashboards, Reports, and Interactive Visuals
Objective 4.2 · Create dashboards, reports, and interactive visualizations
Data Storytelling, Communication, and Audience Analysis
Objective 4.3 · Apply data storytelling techniques and communicate findings to stakeholders
Data Security, Privacy, and Compliance
Objective 5.1 · Explain data security, privacy, and compliance requirements
Data Governance Roles, Policies, and Data Stewardship
Objective 5.2 · Describe governance roles, policies, and data stewardship
Data Quality Metrics, Monitoring, and Remediation
Objective 5.3 · Implement data quality metrics and remediation processes
Free DA0-002 practice questions with full explanations. Test what you learn chapter by chapter.
DA0-002 Practice Questions