CompTIA Data+ V2 Study Guide (2026)

CompTIA Data+ V2 Study Guide 2026 – Pass on Your First Attempt

This CompTIA Data+ V2 study guide covers all exam domains, key concepts, and real exam-style scenarios to help you pass on your first attempt. Learn what topics matter most, avoid common mistakes, and follow a structured plan based on the official exam blueprint.

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What should you study for the CompTIA Data+ V2 exam?

To pass the CompTIA Data+ V2 certification exam, you should focus on:

  • Data Concepts and Environments: Covers types of data, data structures, databases, and data processing environments.
  • Data Mining: Covers data collection, cleansing, transformation, and preparation for analysis.
  • Data Analysis: Covers statistical analysis, hypothesis testing, and applying analytical techniques to derive insights.
  • Visualization: Covers creating, interpreting, and communicating data findings through charts, dashboards, and reports.
  • Data Governance, Quality, and Controls: Covers data governance frameworks, data quality standards, privacy regulations, and compliance.

The exam tests your ability to apply concepts in real scenarios, not just memorize definitions.

CompTIA Data+ V2 Exam Syllabus and Topics

The CompTIA Data+ V2 exam is divided into 5 domains. Each domain tests specific skills and contributes to your overall score.

Data Concepts and Environments

Covers types of data, data structures, databases, and data processing environments.

15%
Weight
14
Questions
15
Marks

Data Types and Structures

  • Structured vs Unstructured Data
  • Quantitative vs Qualitative Data
  • Time-Series Data
  • JSON, XML, CSV Formats

Database Concepts

  • Relational Databases
  • NoSQL Databases
  • OLTP vs OLAP
  • Data Warehouse vs Data Lake

Data Mining

Covers data collection, cleansing, transformation, and preparation for analysis.

25%
Weight
23
Questions
25
Marks

Data Collection Methods

  • APIs
  • Web Scraping
  • Surveys
  • Transactional Systems
  • ETL Processes

Data Cleaning and Transformation

  • Handling Missing Data
  • Outlier Detection
  • Normalization
  • Data Deduplication
  • Data Type Conversion

Querying and Filtering Data

  • SQL Queries (SELECT, JOIN, GROUP BY)
  • Filtering and Sorting
  • Aggregation Functions
  • Subqueries

Data Analysis

Covers statistical analysis, hypothesis testing, and applying analytical techniques to derive insights.

23%
Weight
21
Questions
23
Marks

Descriptive Statistics

  • Mean, Median, Mode
  • Standard Deviation
  • Variance
  • Percentiles and Quartiles
  • Frequency Distributions

Inferential Statistics and Analysis

  • Hypothesis Testing
  • Confidence Intervals
  • Regression Analysis
  • Correlation vs Causation
  • Trend Analysis

Business and Predictive Analytics

  • Forecasting
  • Cohort Analysis
  • A/B Testing
  • Root Cause Analysis
  • Segmentation

Visualization

Covers creating, interpreting, and communicating data findings through charts, dashboards, and reports.

23%
Weight
21
Questions
23
Marks

Chart and Graph Types

  • Bar Charts
  • Line Charts
  • Pie Charts
  • Scatter Plots
  • Heat Maps
  • Histograms
  • Box Plots

Dashboards and Reports

  • KPI Dashboards
  • Interactive Visualizations
  • Report Design Best Practices
  • Storytelling with Data

Visualization Tools

  • Tableau
  • Power BI
  • Excel Charts
  • Google Data Studio

Data Governance, Quality, and Controls

Covers data governance frameworks, data quality standards, privacy regulations, and compliance.

14%
Weight
11
Questions
14
Marks

Data Quality

  • Accuracy
  • Completeness
  • Consistency
  • Timeliness
  • Data Profiling

Data Governance and Compliance

  • Data Ownership
  • Data Stewardship
  • GDPR and CCPA
  • Data Classification
  • Master Data Management (MDM)
CompTIA Data+ V2 study guide 2026 CompTIA Data+ V2 exam syllabus CompTIA Data+ V2 certification preparation how to pass CompTIA Data+ V2 exam CompTIA Data+ V2 exam topics and domains
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Learning Progress

Data Concepts and Environments 85%
Data Mining 92%

Practice Test Scores

95%
Latest Score
Above passing threshold

Frequently Asked Questions