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Data Analyst
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Current availability
The subject-specific curriculum is authored but not yet published for completion. Learners may inspect its scope and learning design now. Start, grading, and completion remain unavailable until every listed gate passes.
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What this course establishes
- Define a decision-ready question
- Clean and document a small dataset reproducibly
- Calculate and communicate an evidence-bounded finding
Entry knowledge
- Read a small table
- Use arithmetic with whole numbers, decimals, and percentages
Scope boundaries
- Does not establish professional analyst qualification, advanced statistics, database administration, or independent causal inference
Fastest competency route
No clock-time guarantee until pilot completion data exists; acceleration is earned by demonstrated competency, not by omitting applied evidence.
- Pass a versioned diagnostic for each lesson competency
- Complete the decision-brief assignment and revision
- Pass the final assessment without skipping safety, ethics, or evidence-boundary items
Full self-paced route
- Decision question lesson and practice
- Cleaning/documentation lesson and practice
- Calculation/communication lesson and practice
- Decision brief, feedback, revision, and final assessment
Lesson and assessment map
Turn a decision into an answerable question
Define an audience, decision, unit of analysis, measure, and time window before choosing a tool.
4 questions: recall, application, judgment, and error correction.
Clean data without erasing evidence
Profile, correct, and document missing values, duplicates, types, and category inconsistencies reproducibly.
4 questions: recall, application, judgment, and error correction.
Calculate and communicate honestly
Select defensible summaries and charts, verify results, and explain uncertainty without overstating conclusions.
4 questions: recall, application, judgment, and error correction.
Required applied assignment
Evidence-to-decision brief
Analyze a provided small operational dataset and produce a reproducible one-page recommendation for a named decision-maker.
- Decision question and data dictionary
- Cleaning log and cleaned table
- Documented calculations
- Accessible chart with alt text
- One-page finding, limitation, and recommendation
- Revision note responding to one identified error
Passing standard: 80 of 100 points, with substantive revision required.
Continue after this course
- Spreadsheet analysis
- SQL
- Statistics
- Data visualization
- Domain-specific analytics
