CompTIA Data+ Course Content
This domain establishes the foundation of where data lives and how it is structured.
- Data Schemas: Understanding relational databases (SQL), non-relational (NoSQL), and schemas like Star and Snowflake.
- Data Types: Discrete vs. continuous data, categorical data, and specialized types (audio, video, images).
- Storage: Differentiating between Data Warehouses, Data Lakes, and Data Marts.
- Cloud & AI (DA0-002): Understanding how data flows in containerized and cloud environments and the role of data in training AI models.
Focuses on gathering raw data and preparing it for analysis.
- Data Acquisition: Using APIs, web scraping, and ETL/ELT (Extract, Transform, Load) processes.
- Data Cleansing: Identifying and fixing "dirty" data—duplicates, outliers, missing values, and invalid data types.
- Manipulation: Techniques like data merging, blending, appending, and string manipulation.
This is the "engine" of the certification, focusing on how to extract meaning.
- Descriptive Statistics: Measures of central tendency (Mean, Median, Mode) and dispersion (Variance, Standard Deviation).
- Inferential Statistics: Hypothesis testing, confidence intervals, and p-values.
- Analysis Types:
- Trend Analysis: Looking at data over time.
- Link Analysis: Finding connections between data points.
- Exploratory Analysis: Uncovering initial patterns or anomalies.
The "storytelling" domain—how to present findings to stakeholders.
- Chart Selection: Knowing when to use a Histogram vs. a Scatter Plot vs. a Heat Map.
- Dashboard Design: Applying color theory, layout principles, and accessibility standards.
- Communication: Tailoring reports for different audiences, from technical teams to C-suite executives.
The "guardrails" that ensure data is used ethically and legally.
- Governance: Understanding data ownership, stewardship, and master data management (MDM).
- Regulatory Compliance: Adhering to laws like GDPR, HIPAA, and PCI-DSS.
- Security & Privacy: Implementing data masking, encryption, and classification.
If you are planning your long-term career, CompTIA now has a complete "Data" track:
- Data+ (Foundational): Focused on reporting and business analysis.
- DataSys+ (Intermediate): Focused on database administration and system management.
- DataAI (Expert): (Formerly DataX) Focused on advanced data science, machine learning, and AI-driven operations.