About This Course
The tourism industry operates in a dynamic, data-rich environment where strategic decisions — from destination marketing to infrastructure investment and policy formulation — must be grounded in credible evidence. Yet many tourism practitioners lack the formal research and analytical skills needed to gather, interpret, and communicate that evidence effectively. This gap often results in decisions driven by anecdote rather than data, missed opportunities for performance improvement, and weakened cases for funding or policy support.
Research and Analytical Methods in Tourism Training is a five-day professional development programme designed to close that gap. Delivered by experienced tourism and research specialists, the course introduces participants to the full research cycle as it applies to tourism — from identifying a research problem and selecting an appropriate methodology, to collecting and analysing data, and presenting findings to diverse stakeholders.
Participants will gain hands-on experience with both quantitative tools — including visitor surveys, statistical analysis, and tourism satellite accounts — and qualitative approaches such as focus groups, ethnographic observation, and stakeholder interviews. The course also addresses emerging analytical methods including digital footprint analysis, social media sentiment tracking, and geographic information systems (GIS) applications in tourism planning.
Whether you are a destination management professional, tourism researcher, policy analyst, or hospitality manager seeking to strengthen your evidence base, this programme provides a structured, practical pathway to becoming a more confident and competent researcher in the tourism domain.
Who Should Attend
- Destination management organisation (DMO) staff and tourism board officers
- Tourism policy analysts and government tourism department officials
- Hospitality and hotel management professionals involved in market research
- NGO and development organisation staff working on tourism projects
- Tourism consultants and private sector advisors
- Academics and lecturers in tourism, hospitality, and related disciplines
- Monitoring and evaluation officers within tourism programmes
- Tourism entrepreneurs seeking to validate business decisions with data
Learning Objectives
- Understand the principles and stages of the research process as applied to the tourism and hospitality sector
- Design appropriate research frameworks, including research questions, objectives, and hypotheses for tourism studies
- Select and apply quantitative research methods such as visitor surveys, demand forecasting, and economic impact modelling
- Apply qualitative research techniques including in-depth interviews, focus groups, and observational methods in tourism contexts
- Develop reliable and valid data collection instruments tailored to tourism research purposes
- Analyse tourism data using descriptive and inferential statistical techniques and interpret findings accurately
- Utilise digital and secondary data sources, including social media analytics, online review platforms, and national tourism databases
- Apply GIS and spatial analysis tools to support tourism planning and destination mapping
- Present research findings clearly and persuasively to technical and non-technical tourism stakeholders
- Critically evaluate published tourism research and assess the quality, bias, and applicability of external studies
Course Modules
Module 1: Foundations of Tourism Research
- The role of research in tourism planning, policy, and management
- Types of tourism research: applied, academic, evaluative, and exploratory
- The research cycle: problem identification through to dissemination
- Ethical considerations in tourism research including informed consent and data privacy
- Positivism, interpretivism, and pragmatism as underpinning philosophical frameworks for tourism research
- Navigating power dynamics and researcher positionality when working with host communities and vulnerable groups
Module 2: Formulating Research Problems and Objectives
- Translating tourism management problems into researchable questions
- Crafting clear research objectives, questions, and testable hypotheses
- Reviewing existing tourism literature and secondary data sources
- Scoping and feasibility assessment for tourism research projects
- Constructing a conceptual framework that maps relationships between key tourism variables
- Defining the unit of analysis — visitor, destination, enterprise, or system — and its implications for research design
Module 3: Quantitative Research Design in Tourism
- Principles of quantitative research and when to apply them in tourism
- Sampling strategies: probability and non-probability methods for visitor surveys
- Designing structured questionnaires and rating scales for tourism studies
- Pre-testing and validating survey instruments before fieldwork
- Determining appropriate sample size using power calculations and margin-of-error considerations for visitor populations
- Addressing common sources of bias — seasonal variation, on-site versus off-site sampling, and social desirability effects — in tourism surveys
Module 4: Qualitative Research Methods for Tourism
- Distinguishing qualitative from quantitative approaches and mixed methods
- In-depth interviews with tourism stakeholders: design, conduct, and recording
- Focus group methodology for tourism market and experience research
- Ethnographic and observational techniques in destination and visitor studies
- Ensuring rigour in qualitative tourism research through credibility, transferability, and member-checking strategies
- Using photo-elicitation and participatory visual methods to capture tourist experience and place meaning
Module 5: Data Collection in the Field
- Planning and managing tourism fieldwork logistics and teams
- Digital data collection tools: mobile survey platforms and GPS-enabled devices
- Handling non-response, language barriers, and cultural sensitivity in tourism surveys
- Quality control and real-time monitoring of data collection processes
- Training and briefing field enumerators to ensure consistency in data collection protocols across sites
- Documenting field conditions, deviations from protocol, and contextual observations for use in analysis and reporting
Module 6: Quantitative Data Analysis and Interpretation
- Cleaning, coding, and structuring tourism datasets for analysis
- Descriptive statistics: frequencies, means, cross-tabulations, and visualisations
- Inferential statistics: chi-square, correlation, and regression applied to tourism data
- Interpreting statistical outputs and avoiding common analytical errors
- Segmentation analysis using cluster and factor techniques to identify distinct visitor profiles and market groups
- Reporting effect sizes and confidence intervals alongside significance levels to convey practical as well as statistical relevance
Module 7: Qualitative Data Analysis Techniques
- Transcription, coding, and thematic analysis of interview and focus group data
- Content analysis of tourism documents, policies, and media coverage
- Narrative analysis and use of verbatim quotes as evidence in tourism reports
- Software-assisted qualitative analysis using NVivo or Atlas.ti (introductory overview)
- Managing and auditing a codebook to ensure consistency across multiple analysts and iterative rounds of coding
- Synthesising qualitative and quantitative findings in a mixed-methods tourism study through integration and meta-inference
Module 8: Digital and Secondary Data Sources in Tourism
- Tourism satellite accounts, national visitor surveys, and UN Tourism datasets
- Social media analytics: extracting and interpreting sentiment from online platforms
- Online review analysis as a proxy for visitor satisfaction and destination perception
- Web traffic, booking platform data, and digital footprint analysis for tourism insights
- Assessing the reliability, coverage gaps, and temporal limitations of secondary tourism data sources before use in analysis
- Linking administrative data — border statistics, accommodation registration records, and visa data — to build comprehensive destination demand profiles
Module 9: GIS and Spatial Analysis in Tourism Planning
- Introduction to geographic information systems and their applications in tourism
- Mapping tourist flows, attraction clusters, and accommodation distribution
- Using GIS for carrying capacity assessment and sensitive area identification
- Free-tier GIS tools (Google My Maps, QGIS) for practical destination analysis
- Integrating georeferenced social media data and geotagged photographs to visualise informal visitor movement patterns
- Applying spatial overlay analysis to identify conflicts between tourism infrastructure, protected areas, and local land use
Module 10: Communicating and Applying Research Findings
- Structuring a tourism research report for technical and non-technical audiences
- Data visualisation best practices: charts, infographics, and dashboards for tourism
- Presenting findings to policymakers, investors, and community stakeholders
- Translating research outcomes into actionable recommendations and monitoring frameworks
- Tailoring executive summaries and briefing notes to the decision-making context and information needs of each audience
- Embedding research findings into destination management cycles through indicator tracking, review schedules, and adaptive management triggers
Requirements & Prerequisites
Participants should have a background in tourism, hospitality, development, or a related field at a professional or supervisory level. Basic familiarity with data concepts and general business reporting is helpful but no advanced statistical training is required. A willingness to engage with practical exercises and work with real tourism datasets is expected throughout the programme.
Training Methodology
- Guided case analysis of real tourism research studies from African and global destinations, examining methodology choices and their outcomes
- Hands-on survey design workshop where participants draft, pilot, and refine a visitor questionnaire for a selected destination scenario
- Small-group qualitative research simulation involving role-played stakeholder interviews and focus group facilitation practice
- Data analysis lab sessions using accessible tools (Excel and introductory SPSS/STATA) applied to authentic visitor arrival and spend datasets
- Interactive GIS mapping exercise using free-tier platforms to visualise tourism flows, attraction clusters, and infrastructure gaps
- Social media and online review analysis exercise drawing on TripAdvisor, Google Reviews, and Twitter/X data for a destination reputation study
- Peer critique sessions where participants review and provide structured feedback on each other's draft research designs
- Presentation and communication workshop requiring each participant to deliver a five-minute findings brief to a simulated stakeholder panel
Organisational Benefits
- Improved quality of internal research and market intelligence supporting strategic tourism decisions
- Stronger evidence base for funding proposals, investment cases, and tourism master plans
- Enhanced capacity to evaluate the economic, social, and environmental impacts of tourism activities
- Better-informed destination marketing strategies grounded in visitor behaviour and preference data
- Increased organisational credibility with government bodies, donors, and international tourism partners
- More effective monitoring and evaluation of tourism programmes and policy interventions
- Reduced risk in tourism planning through data-driven scenario analysis and demand forecasting
- A pipeline of research-competent professionals who can generate and apply knowledge independently
Where Is Research and Analytical Methods in Tourism Training Offered?
This course runs in-person across: Lagos, Mombasa, Dar es Salaam, Addis Ababa, Kampala, Arusha, Nakuru, Johannesburg, Accra, Naivasha, Kisumu, Zanzibar, Nairobi, Cape Town, Kigali, Abuja, Dubai, Riyadh, Pretoria, plus Live Virtual (online) cohorts. Browse live dates for your city below.
Upcoming Schedules
| Location | Format | Dates | Price |
|---|
| Lagos, Nigeria |
In-Person |
5 Oct 2026 – 9 Oct 2026 |
USD 2,500 |
| Mombasa, Kenya |
In-Person |
5 Oct 2026 – 9 Oct 2026 |
KES 115,000 |
| Dar es Salaam, Tanzania |
In-Person |
12 Oct 2026 – 16 Oct 2026 |
USD 2,300 |
| Live Virtual |
Online |
19 Oct 2026 – 23 Oct 2026 |
KES 80,000 |
| Addis Ababa, Ethiopia |
In-Person |
19 Oct 2026 – 23 Oct 2026 |
USD 2,400 |
| Kampala, Uganda |
In-Person |
19 Oct 2026 – 23 Oct 2026 |
USD 1,900 |
| Arusha, Tanzania |
In-Person |
19 Oct 2026 – 23 Oct 2026 |
USD 2,100 |
| Nakuru, Kenya |
In-Person |
19 Oct 2026 – 23 Oct 2026 |
KES 115,000 |
| Johannesburg, South Africa |
In-Person |
19 Oct 2026 – 23 Oct 2026 |
USD 3,500 |
| Accra, Ghana |
In-Person |
19 Oct 2026 – 23 Oct 2026 |
USD 3,800 |
| Naivasha, Kenya |
In-Person |
19 Oct 2026 – 23 Oct 2026 |
KES 120,000 |
| Kisumu, Kenya |
In-Person |
19 Oct 2026 – 23 Oct 2026 |
KES 120,000 |
| Live Virtual |
Online |
24 Oct 2026 – 15 Nov 2026 |
KES 80,000 |
| Zanzibar, Tanzania |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 2,500 |
| Nairobi, Kenya |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
KES 115,000 |
+237 more dates — view live schedule →
Frequently Asked Questions
Do I need a background in statistics or academic research to attend this course?
No prior statistical or academic research training is required. The course is designed for working tourism professionals and builds analytical skills progressively from foundational concepts to applied techniques. All data exercises use accessible tools such as Excel alongside introductory exposure to more advanced software.
Will I receive a certificate upon completing the course?
Yes. Participants who attend and complete the full five-day programme will receive a Certificate of Completion from TrainingComplex, recognising their professional development in Research and Analytical Methods in Tourism. The certificate can be used to support CPD portfolios and professional applications.
Is this course relevant to government tourism officials as well as private sector professionals?
Absolutely. The course has been designed to serve both public and private sector participants, with case studies and exercises drawn from destination management, policy evaluation, hospitality management, and tourism development contexts. The mixed cohort also enriches discussion through cross-sector perspectives.
What software or tools will participants need to bring or have access to?
Participants should bring a laptop with Microsoft Excel installed. The course will also introduce SPSS, QGIS, and NVivo at an overview level, and free-tier web-based versions of these tools will be used during lab sessions so no additional software licences are required in advance.
Can organisations send multiple staff members from the same team?
Yes, and this is actively encouraged. Sending a team of two or more professionals from the same organisation allows participants to work on a shared research challenge during the course and return with a coordinated capability that can be immediately applied to ongoing or planned tourism projects.
