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University of FlowStateOpen online learning

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Data Analyst

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Career listingOptional plan item3 lessons authored

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.

  1. Pass a versioned diagnostic for each lesson competency
  2. Complete the decision-brief assignment and revision
  3. Pass the final assessment without skipping safety, ethics, or evidence-boundary items

Full self-paced route

  1. Decision question lesson and practice
  2. Cleaning/documentation lesson and practice
  3. Calculation/communication lesson and practice
  4. Decision brief, feedback, revision, and final assessment

Lesson and assessment map

01

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.

02

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.

03

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