CompTIA Data+ DA0-002
Complete DA0-002 course
Eighteen original lessons cover every published V2 objective, followed by domain reviews and focused deep dives. Free to read, no account needed.
The 18 objective lessons are verified against CompTIA's published DA0-002 V2 objectives, version 2.0. View the official certification page. Lesson wording and practice questions are original ExamOps material.
1.0 Data Concepts and Environments
20%Understand how data is represented, where it comes from, the infrastructure and tools that hold it, and the AI concepts analysts encounter.
2.0 Data Acquisition and Preparation
22%Acquire data, inspect it for defects, and transform it into a reliable analytical data set.
3.0 Data Analysis
24%Translate requirements into an audience-aware analysis, select useful statistical functions, and diagnose basic failures.
4.0 Visualization and Reporting
20%Build readable visual communication, deliver it through the right channel, and validate reports when they fail.
5.0 Data Governance
14%Manage data as an accountable asset through documentation, compliance, protection, and continuous quality assurance.
Domain reviews and focused guides
Use these after the objective lessons to consolidate a domain or explore a focused topic. Guides that extend beyond the current objective list label that enrichment explicitly.
- CompTIA Data+ (DA0-002): What the Exam Is and How to Beat It
CompTIA Data+ is a vendor-neutral certification for early-career data professionals — analysts, reporting specialists, operations staff who live in… - Domain 1 — Data Concepts and Environments (20%)
Domain 1 is the vocabulary layer of the course. The other four domains assume you can classify data, name the storage architecture in a scenario, and… - Domain 2 — Data Acquisition and Preparation (22%)
Domain 2 covers where data comes from, the SQL that retrieves it, the pipelines that move it, exploration of its condition, and transformations that… - Domain 3 — Data Analysis (24%)
Data Analysis is the largest DA0-002 V2 domain. Its current scope has three parts: choose a communication approach, select statistical methods and… - Domain 4 — Visualization and Reporting (20%)
Domain 4 connects visual choice, report delivery, and report validation. The goal is not merely to recognize chart names: it is to select an honest… - Domain 5 — Data Governance (14%)
Governance has the smallest published weight at 14%, but it spans four broad objectives: data management (5.1), compliance (5.2), privacy and… - ETL vs ELT — choose from the architecture
ETL means extract, transform, load; ELT means extract, load, transform. The useful skill is identifying the sequence and explaining why it fits the… - Type I vs Type II errors, p-values, and what significance actually claims
The everyday meanings of "significant" and "probability" differ from their technical meanings in hypothesis testing. This review separates those… - Choosing the right chart, and the ways a chart lies
Chart selection begins with one thing: what question is the chart being asked to answer? Once that is clear, data type, audience, and accessibility… - How hard is CompTIA Data+, and how should you study for it?
Two questions come up before anyone books DA0-002: how difficult is it really, and how long should preparation take? Both have honest answers, and… - Normalization, star schemas, and when denormalizing is the right answer
This supplemental guide connects two database-design ideas that can appear to contradict each other. Normalization eliminates harmful redundancy in…
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