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Leveraging climate data: Classification and predictive analytics for tourism

Event resources

09 December 2024

Leveraging climate data: Classification and predictive analytics for tourism

Adventure tourism

Coastal, maritime and inland water tourism

Cultural tourism

+40 more

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An illustrative photo of trees inside of the glass building

Workshop covers key theoretical concepts in data classification and predictive analytics, teaching participants to use historical data for predicting future outcomes, with a practical focus on the Tourism Climate Index (TCI) using BDTI tools.

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DigitalEU

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Geographical descriptors

Albania

Armenia

Austria

Belgium

Bosnia and Herzegovina

Bulgaria

Croatia

Cyprus

Czechia

Denmark

Estonia

EU-27

Finland

France

Georgia

Germany

Greece

Hungary

Iceland

Ireland

Italy

Kosovo

Latvia

Liechtenstein

Lithuania

Luxembourg

Malta

Moldova

Montenegro

Netherlands

North Macedonia

Norway

Poland

Portugal

Romania

Serbia

Slovakia

Slovenia

Spain

Sweden

Switzerland

Türkiye

Ukraine

Organisation Type

Academic / Research and VET Institutions

SMEs (a company with less than 250 employees)

  • Specific types of tourism

    • Adventure tourism

    • Coastal, maritime and inland water tourism

    • Cultural tourism

    • Ecotourism

    • Education tourism

    • Festival tourism

    • Gastronomy tourism

    • Health and medical tourism

    • MICE tourism

    • Mountain tourism

    • Religious tourism

    • Rural tourism

    • Sports tourism

    • Urban/city tourism

    • Wellness tourism

  • Transition Pathway Strategic Areas

    • Innovative tourism services

    • R&I on digital tools for tourism

  • Business activities

    • Activities of amusement parks and theme parks

    • Activities of associations and other organisations supporting tourism

    • Air passenger transport

    • Camping grounds, recreational vehicle parks and trailer parks

    • Events catering and other food services

    • Festivals, cultural and entertainment activities

    • Gardens and nature reserves activities

    • Holiday Housing / Apartments and other short stay accommodation

    • Hotel and similar accommodation

    • Mobile beverage services

    • Mobile food services

    • Museums

    • Operation of historical sites

    • Other

    • Other accommodation

    • Other amusement and recreation activities

    • Other food and beverage services

    • Other holiday reservation services

    • Other tourism transportation activities

    • Rail Passenger transport

    • Recreational and sport activities

    • Restaurants, cafes and bars (Food and Beverage serving activities)

    • Road passenger transport

    • Tour operator activities

    • Travel agency activities

    • Water (sea, coastal and inland) passenger transport

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This workshop introduces key theoretical concepts in data classification and predictive analytics, essential skills in data science. Participants will learn to use historical data to classify and predict future outcomes, with a practical focus on the Tourism Climate Index (TCI). The workshop will utilize tools currently offered by BDTI to illustrate these concepts through a real-world use case. This hands-on approach ensures that participants gain practical experience in applying these techniques to tourism-related data.

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