Lesson 1Location-based services and GPS traces: accuracy trade-offs, frequency, battery considerations, and cleaning methodsExplore location services and GPS tracks as detailed movement data. Cover precision, update rates, battery effects, map matching, and tidying messy paths for solid tourism flow and site visit studies.
GPS accuracy, drift, and indoor limitationsSampling frequency and battery trade-offsMap-matching to roads and pedestrian pathsDetecting stops, trips, and POI visitsFiltering noise and outlier trajectoriesLesson 2Survey and intercept instruments: design of short in-app and on-site surveys, sampling strategies, frequency, and response biasFocus on surveys and quick polls for tourism insights, from app forms to roadside chats. Learn form design, sampling plans, timing, rewards, and cutting bias and fatigue.
Defining survey objectives and key metricsQuestion wording, scales, and survey lengthOn-site, online, and in-app recruitmentSampling frames, quotas, and weightingNonresponse, recall, and social desirability biasLesson 3App telemetry and SDK data: location, session, POI visits, opt-in, sampling bias, and update cadenceDescribes app tracking and toolkit data in tourism apps, covering sessions, screens, and site visits. Includes consent steps, join rates, sampling, update rhythms, and dodging tricky patterns and privacy woes.
Session, screen, and event instrumentationLocation and POI visit logging in appsConsent flows, opt-in, and transparencySampling, throttling, and data volume controlUpdate cadence and SDK governanceLesson 4Legal, privacy, and ethical constraints: GDPR-equivalent frameworks, anonymisation, differential privacy basics, and data retention policiesTackles legal, privacy, and ethical sides of tourism data. Reviews data protection laws like Kenya's, valid reasons, anonymising, basic differential privacy, storage limits, and ethical rules for responsible governance.
Lawful bases for processing tourism dataData minimization and purpose limitationAnonymization and pseudonymization methodsDifferential privacy concepts and use casesRetention schedules and deletion policiesLesson 5Mobile network and CDR-derived insights: what they reveal (origin, flows, dwell time), temporal resolution, access channels, and privacy/legal constraintsDetails mobile network and call data insights for tourism, like home markets, flows, and stay times. Discusses location and time detail, access ways, grouping, and tough privacy, consent, and rules.
CDR structure, events, and aggregation levelsOrigin–destination matrices and visitor flowsDwell time estimation and stay classificationTemporal resolution and representativenessPrivacy, consent, and regulatory constraintsLesson 6Booking and reservation platforms data: occupancy, arrival/departure windows, booking lead times, and data sharing agreementsLooks at data from booking sites and managers, including occupancy, advance bookings, and stay patterns. Focuses on access, sharing deals, bias sources, and turning raw bookings into tourism smarts.
Occupancy, ADR, and length-of-stay indicatorsArrival and departure windows by segmentBooking lead times and demand forecastingAPIs, exports, and channel manager feedsData sharing agreements and governanceLesson 7Open and administrative data: transport timetables, event permits, environmental datasets, and update schedulesExplores free and government data for tourism, like transport times, event approvals, and eco sets. Covers formats, refresh cycles, licences, and checking reliability, fullness, and fit for daily and big-picture use.
Transport timetables and service calendarsEvent permits and cultural agenda datasetsEnvironmental and climate open data portalsLicensing, reuse rights, and attribution rulesUpdate frequency, versioning, and data qualityLesson 8Social media and UGC analytics: geo-tagged posts, sentiment, topic extraction, sampling bias, and API limitsCovers social media and user content as tourism data, like located posts, reviews, photos. Handles sentiment and topic pulls, platform APIs, sampling skew, and fair interpretation for destination management.
Geo-tagged posts and place-based activityReview text, ratings, and photo metadataSentiment and emotion analysis techniquesTopic modeling and trend detectionSampling bias, bots, and API limitationsLesson 9Sensor and IoT data (counters, BLE, Wi-Fi probes): installation sites, calibration, maintenance, and near real-time retrievalCovers sensors and smart devices for destinations, like counters, Bluetooth tags, Wi-Fi scans. Discusses setup spots, tuning, upkeep, edge processing, and near-live data lines for operations.
People counters and camera-based systemsBLE beacons and Wi‑Fi probe collectionSite selection, coverage, and interferenceCalibration, testing, and maintenance plansStreaming, buffering, and real-time accessLesson 10Data linkage and provenance: identifiers, temporal alignment, aggregation levels, and techniques for combining heterogeneous sourcesExplains linking varied tourism data sets while tracking origins. Covers IDs, time matching, area grouping, and ways to merge sources without overfit, double counts, or privacy slips.
Stable identifiers and pseudonymous keysTemporal alignment and time-window choicesSpatial aggregation and zoning decisionsRecord linkage and fusion techniquesProvenance tracking and audit trails
