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Market Research 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.
- qualified review approval is required
- reviewer identity, qualification, evidence, and approval date are required
What this course establishes
- Translate a business decision into a research brief, target population, evidence inventory, method plan, competitive-source audit, and ethical/privacy controls
- Design and pretest an accessible questionnaire and fieldwork plan with defensible sampling, recruitment, consent, quality, weighting, and disclosure rules
- Clean and analyze synthetic survey evidence with correct bases, uncertainty and error limits, segmentation discipline, sensitivity analysis, and claim-safe recommendations
Entry knowledge
- Spreadsheet formulas and charts
- Percentages, proportions, averages, medians, and basic probability
- Clear professional writing and the ability to distinguish evidence from assumptions
Scope boundaries
- Uses fictional data only; it does not authorize real recruitment, scraping, covert research, purchased-data use, sensitive profiling, production access, deceptive incentives, fabricated reviews, or advertising claims
- Does not replace survey-statistics expertise, legal/privacy/advertising review, research ethics, accessibility testing with disabled respondents, financial forecasting, industry expertise, or executive decision authority
Fastest competency route
Competency evidence determines completion; there is no promised hour count, job placement, professional certification, market success, sales forecast, or investment outcome. Prior experience shortens the route only when every methodological, ethical, analytical, accessibility, and revision requirement is demonstrated.
- Pass diagnostics for decision framing, source quality, target populations, measurement, questionnaire bias, sampling, weighting, error, segmentation, privacy, accessibility, and claims
- Complete the supplied synthetic concept-study plan, data audit, analysis, and decision report
- Correct every duplicate, consent, quality, missing-weight, denominator, sampling, uncertainty, disclosure, and overclaim defect before final assessment
Full self-paced route
- Decision framing, market definition, secondary evidence, and method choice
- Questionnaire design, pretesting, sampling, recruitment, and fieldwork quality
- Data cleaning, weighted/unweighted analysis, uncertainty, segmentation, market claims, and reporting
- Applied market-research portfolio and final assessment
Lesson and assessment map
Business decision, market definition, and evidence plan
Turn a commercial question into a bounded research brief, target population, market definition, source audit, and method plan.
4 questions: recall, application, judgment, and error correction.
Questionnaire design, pretesting, sampling, and fieldwork quality
Design an accessible instrument and transparent fieldwork system that measures intended constructs without disguising sample limitations.
4 questions: recall, application, judgment, and error correction.
Data quality, weighting, uncertainty, segmentation, and claim-safe reporting
Analyze survey evidence reproducibly and communicate bounded findings without false population, causal, forecast, or advertising claims.
4 questions: recall, application, judgment, and error correction.
Required applied assignment
Market concept study and claim-safe decision portfolio
Using only the supplied synthetic survey and fictional business context, design and audit a market concept study from decision framing through questionnaire, sample, fieldwork, analysis, and claim review. Do not recruit real respondents, estimate real market demand, or make advertising, revenue, or investment claims.
- Decision brief, target-population/market definition, assumptions and error-cost register, decision thresholds, and evidence/method map
- Secondary-source and competitor audit with sponsor, definitions, period, population, method, comparability, licensing, conflicts, and evidence grade
- Construct-to-item matrix, accessible questionnaire, routing, response options, consent, cognitive/usability pretest evidence, defect log, revision, and retest
- Sampling frame/design or explicit nonprobability rationale, recruitment/contact, disposition, fieldwork, incentives, privacy, accessibility, quality, weighting, and disclosure plans
- Immutable dataset/checksum, dictionary, code/formulas, duplicate/consent/attention/missing-weight disposition, analytic bases, reconciliation, and sensitivity analyses
- Weighted/unweighted results where valid, preference/intent/price/segment tables, uncertainty and nonsampling-error discussion, accessible visuals, market-sizing assumptions template, sponsor/method statement, claim/legal review, decision memo, peer critique, and substantive revision
Passing standard: 85 of 100 points, with substantive revision required.
Continue after this course
- Probability sampling, stratification, clustering, complex survey variance, calibration, imputation, small-area estimation, and longitudinal panels
- Cognitive interviewing, psychometrics, scale development, conjoint/discrete-choice methods, pricing research, experiments, and causal inference
- Competitive intelligence ethics, public-data APIs, market sizing, forecasting, econometrics, and financial modeling
- Cross-cultural adaptation, translation, accessible survey engineering, privacy engineering, and research operations