CompTIA Data+ DA0-002
Complete DA0-002 course
Original lessons cover every published objective, followed by domain reviews and focused deep dives. Free to read, no account needed.
Coverage was checked against the published DA0-002 objectives. View the official blueprint. Lesson wording, exercises, and 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.
- 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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