Data-Driven Tourism Planning: Leveraging Big Data and AI for Destination Development

Data-Driven Tourism Planning: Leveraging Big Data and AI for Destination Development

Intermediate | 5 days | Face to Face / Online / Elearning | Certificate
01

Course Overview

Course Summary
Course Title Data-Driven Tourism Planning: Leveraging Big Data and AI for Destination Development
Organization Tech For Development (T4D)
Venue Tech For Development (T4D) Training Centre
Duration 5 days
Target Industries
Target Job Roles
Course Fees (Face-to-Face) USD 1,500/KES 99,000 (Exclusive of VAT)
Course Fees (Virtual) USD 1,000/KES 70,000 (Exclusive of VAT)
Training Modes Virtual and face-to-face training
Payment Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course
Accreditation Tech For Development Certificate of Course Completion

Course Overview:
This 5-day course introduces participants to modern tools and data-driven approaches for tourism planning and destination development. Participants will learn how to leverage big data, AI, GIS, and predictive analytics to enhance tourism competitiveness and sustainability.

Duration

5 days

Target Audience:

  • Destination managers and tourism planners
  • Data analysts in tourism boards or ministries
  • Urban and regional development officers
  • Digital transformation officers in tourism agencies

Organizational Impact:

  • Enhanced evidence-based planning and forecasting
  • Improved targeting of marketing and infrastructure investments
  • Adoption of smart tourism technologies
  • More resilient and responsive tourism strategies

Personal Impact:

  • Practical skills in big data and AI applications
  • Stronger data storytelling and planning capabilities
  • Experience with tools like GIS and Power BI
  • Career growth in tourism planning and analytics

Course Objectives:

  • Understand the role of data in tourism development
  • Apply big data and AI in tourism decision-making
  • Use visualization tools for effective planning
  • Integrate predictive analytics into tourism strategies
02

Course Modules

Course Modules:

Module 1: Foundations of Data-Driven Tourism Planning

  • Role of data in modern destination planning
  • Key sources of tourism data: mobile, GPS, reviews, social media
  • Principles of data privacy and governance
  • Stakeholder roles in data collection and planning
  • Case Study: Smart tourism planning in a coastal city

Module 2: Collecting and Integrating Tourism Data

  • Data scraping and mining tools for tourism
  • APIs from platforms like Booking.com, TripAdvisor
  • Integrating structured and unstructured datasets
  • Cloud-based data storage options
  • Case Study: Using hotel booking data to identify peak travel trends

Module 3: Big Data and AI in Tourism Analytics

  • AI models for tourist behavior prediction
  • Sentiment analysis from online reviews
  • Machine learning for demand forecasting
  • Real-time tracking of visitor flows
  • Case Study: Forecasting tourist arrivals using AI during festivals

Module 4: Visualization and Planning Tools

  • Power BI and Tableau for dashboard creation
  • GIS mapping for infrastructure and zoning decisions
  • Creating interactive planning reports
  • Mobile-based tools for field data collection
  • Case Study: Interactive planning dashboard for a UNESCO heritage site

Module 5: Developing and Implementing Data-Driven Strategies

  • Translating analytics into strategic action plans
  • Risk assessment and scenario modeling
  • Aligning tourism planning with sustainability goals
  • Monitoring strategy execution using KPIs
  • Case Study: Implementing a data-led recovery strategy for a post-COVID destination
03

Course Administration

Methodology

Instructor-led sessions use a blended learning approach combining presentations, guided practical exercises, web-based tutorials, and group work, delivered by seasoned industry experts. All facilitation and course materials are in English, so participants should be reasonably proficient in the language.

Accreditation

Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion

Training Venue

The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

Accommodation & Airport Transfer

Arranged upon request.For reservations contact the Training Officer:
Email: [email protected]
Phone: (+254) 790 824 179

Tailor-Made

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our T4D Training Centre or at a convenient location.

Payment

Payment should be transferred to the T4D account through a bank on or before the start of the course. Send proof of payment to [email protected].

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Date Cost
2026 Schedules
Nairobi
14 Dec - 18 Dec
KES 99,000 |
$1,500
Register
Johannesberg
Mombasa
Kigali
Addis Ababa
Kuala Lumpur
Accra
Cairo
Cape Town
Pretoria
Dar es Salaam
Naivasha
Kisumu
Arusha
Machakos
Nakuru
Kampala
Dubai
Zanzibar
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Kigali
Addis Ababa
Kuala Lumpur
Accra
Pretoria
Cape Town
Johannesberg
Cairo
Arusha
Machakos
Zanzibar
Kisumu
Nakuru
Mombasa
Nairobi
Naivasha
Kampala
Dubai