Tourism Data Analytics

Course Overview

A practical, tourism‑focused course that teaches learners how to analyse travel demand, visitor behaviour, destination performance, and hospitality‑tourism ecosystems using data. The course covers visitor segmentation, seasonality and demand forecasting, attraction and itinerary analytics, mobility and geolocation insights, pricing and occupancy trends, marketing ROI, and sustainability indicators across destinations, hotels, airlines, and travel platforms.

Target Audience

• Tourism boards, destination managers, and travel‑industry planners

• Hospitality, airline, and travel‑agency professionals

• Marketing, CRM, and digital‑engagement teams in tourism

• Data analysts, BI developers, and forecasting teams

• Students or professionals entering tourism, hospitality, or analytics roles

Course Outcomes

• Understand tourism data sources, KPIs, and destination‑performance frameworks

• Analyse visitor profiles, travel motivations, booking patterns, and mobility flows

• Apply forecasting models for arrivals, occupancy, seasonality, and demand peaks

• Evaluate attraction performance, itinerary behaviour, and experience‑journey insights

• Use analytics to optimise pricing, marketing campaigns, and distribution channels

• Build dashboards for destination performance, visitor insights, and sustainability metrics

• Identify demand drivers, bottlenecks, and emerging travel trends

• Communicate tourism insights clearly to destination, hospitality, and leadership teams