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Sports 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
- Create a versioned sport-specific event model and reliable video-tagging workflow tied to current official rules and source provenance
- Calculate rate, possession, playing-time, lineup, expected-outcome and comparative measures with defensible denominators, context, uncertainty and validation
- Deliver accessible opponent, player and team decision support while protecting athlete welfare, confidential information, intellectual property and competition integrity
Entry knowledge
- Spreadsheet analysis and basic descriptive statistics
- Ability to follow one sport’s current official rules and terminology
- Comfort reviewing timestamped video and event records
Scope boundaries
- Uses fictional teams, players, events, video references, tracking values and outcomes; learners must not upload private athlete, minor, medical, biometric, betting, team-strategy, credential or licensed footage data
- Does not authorize coaching, selection, contracts, medical diagnosis, injury prediction, return-to-play, workload prescription, surveillance, betting, wagering advice, officiating decisions or rule interpretation and does not replace qualified coaches, officials, medical/performance staff, statisticians, integrity officers, attorneys or governing bodies
Fastest competency route
Completion is self-paced and competency-based. Sport knowledge shortens study only when every event definition, calculation, model assumption, clip, limitation, welfare/integrity boundary and revision is demonstrated; no duration, job, credential, selection, win, ranking, injury outcome, betting result or competitive advantage is guaranteed.
- Pass diagnostics in rules/versioning, event grain, clocks, possessions, coordinates, tag reliability, denominators, playing time, lineups, context, expected metrics and validation
- Complete the synthetic match-event audit and reproduce every feature, metric, clip reference and conclusion from immutable source records
- Correct every duplicate event, clock reversal, impossible coordinate, rule-version mismatch, double-counted possession, denominator error, lineup overlap, future leakage, medical inference, betting-data disclosure and inaccessible chart
Full self-paced route
- Rules, event data, video and measurement reliability
- Performance metrics, context, comparison and modeling
- Scouting, decision communication, welfare, privacy and integrity
- Applied sports-analysis portfolio and final assessment
Lesson and assessment map
Rules, event data, video, and measurement reliability
Build a traceable sport-specific event dataset and video-tagging protocol whose definitions match the governing rules and analysis question.
4 questions: recall, application, judgment, and error correction.
Performance metrics, context, comparison, and modeling
Calculate and validate sport metrics with correct opportunity, possession, time and context denominators and honest uncertainty.
4 questions: recall, application, judgment, and error correction.
Scouting, decision communication, welfare, privacy, and integrity
Deliver actionable accessible analysis without crossing coaching, medical, privacy, rights or competition-integrity boundaries.
4 questions: recall, application, judgment, and error correction.
Required applied assignment
Build a reproducible fictional match-analysis portfolio
Use only the supplied synthetic events and fictional clip references. Produce decision support without using private athlete data or licensed footage, coaching or selecting athletes, diagnosing health, prescribing workload, placing wagers or sharing inside information. Current official rules and authorized coaching, medical, legal/privacy and integrity owners govern real decisions.
- Decision brief, current rule/statistics/source register, event/clock/coordinate schema, provider crosswalk, raw-data checksum, ingestion reconciliation, correction and version history
- Observable video codebook, timecode map, tagger-calibration and agreement/confusion evidence, adjudication trail, rights/privacy register and representative/counterexample clip index
- Reproducible counts, opportunity/time/possession rates, lineup and context analysis, expected-metric baseline, time-aware validation, calibration/error, uncertainty, leakage and subgroup audits
- Accessible scouting brief and transcript with priorities/options/tradeoffs, athlete-welfare and integrity boundaries, escalation/conflict plan, post-event audit, corrected event ledger and substantive revision
Passing standard: 85 of 100 points, with substantive revision required.
Continue after this course
- Sport-specific performance analysis, scouting, coaching science, data engineering, statistics, biomechanics or visualization
- Supervised video and data work under the applicable team, league and athlete-data policies
- League-, team- or vendor-specific credentials checked with official providers; this internal course is not an analyst, coach, scout, medical or officiating credential