Official courseware for the CompTIA Data+ Training course delivered by Tertiary Infotech Academy Pte Ltd (UEN 201200696W). The material is aligned 100% to the CompTIA Data+ (DA0-001) exam domains across LO1–LO5.
| # | Learning Outcome | K/A |
|---|---|---|
| LO1 | Integrate multiple datasets to extract and process data efficiently | K4, A1 |
| LO2 | Conduct data mining to uncover and analyze trends using analysis techniques | K1, A2 |
| LO3 | Perform statistical data analysis to derive actionable insights | K2, A3 |
| LO4 | Present analytical outputs visually to communicate data effectively | K3, A5 |
| LO5 | Recognize and interpret sequential patterns to establish linkages between variables | A4 |
| Domain | Topic | Exam weighting | Day | Labs |
|---|---|---|---|---|
| 1 | Data Concepts and Environments | 20% | 1 | 1–3 |
| 2 | Data Acquisition and Preparation | 22% | 2 | 4–7 |
| 3 | Data Analysis | 24% | 3 | 8–10 |
| 4 | Visualization and Reporting | 20% | 4 | 11–12 |
| 5 | Data Governance, Quality and Controls | 14% | 5 | 13–15 |
15 labs — every one runs free in your browser. Nothing to install.
Every data lab ships its dataset in labs/<lab>/data/ — CSV, plus an XLSX workbook where a
spreadsheet is the natural tool. Each data/README.md documents the files and the defects
planted in them. Learners download the data in the first step of the lab; nothing is typed in.
| Tool | Used for |
|---|---|
| Killercoda Ubuntu Playground | Browser Ubuntu terminal with Python 3, pandas and SQLite |
| RegexLab | Building and validating the parsing patterns that clean messy text fields |
| PCAP Analyzer | Machine/log data as a data source — protocol distribution and top-talker statistics |
| IP Calculator | Deriving structured numeric fields from raw address data |
| Cybersecurity Threat Simulator | Data-leakage risk scoring and classification reasoning for the governance domain |
# Option A — clone
git clone https://github.com/tertiarycourses/C923-CompTIA-Data-Training.git
# Option B — download the ZIP from GitHub: Code → Download ZIPThen open the Killercoda Ubuntu playground and start at Lab 1.
| Artifact | File |
|---|---|
| Trainer Slides (205 slides) | courseware/CompTIA Data+ Training-v1.0.pptx |
| Lesson Plan | courseware/LP-CompTIA Data+ Training.docx |
| Learner Guide (45 pp) | courseware/LG-CompTIA Data+ Training.docx |
| Learner Guide (Markdown) | LG-CompTIA Data+ Training (C923).md |
| Lab index | labs/README.md |
5 training days · 9:30 am – 5:30 pm · 7.5 instructional hours per day (30-minute lunch break) · 37.5 hours total.
| Day | Theme |
|---|---|
| 1 | Data Concepts, Schemas and Environments |
| 2 | Data Acquisition, Exploration and Preparation |
| 3 | Data Analysis — Descriptive and Inferential Statistics |
| 4 | Visualization, Dashboards and Reporting |
| 5 | Data Governance, Quality and Controls |
Prepare for the CompTIA Data+ (DA0-001) certification exam with the matching Tertiary Infotech practice exams.
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© 2026 Tertiary Infotech Academy Pte Ltd (UEN 201200696W). All rights reserved. Course code C923 · Courseware version v1.0 · 21 September 2026