In this workshop, developed by the BDTI Skills Studio, key theoretical concepts in data classification and predictive analytics are introduced. Participants will learn how to use historical data to classify and predict future outcomes, a fundamental skill in data science. These concepts will be illustrated through a practical use case involving the Tourism Climate Index (TCI), using tools currently offered by BDTI.

The use case will involve predicting TCI classifications based on historical weather data, demonstrating the application of machine learning techniques to categorise data effectively. This approach not only aids tourists in making informed travel decisions based on climatic conditions but also serves as a practical example of data classification techniques.

What you’ll get from this workshop:

• A foundational understanding of data classification and predictive analytics
• Hands-on experience in applying machine learning models to real-world data
• Skills in data preprocessing, feature engineering, and model evaluation
• Insights into the use of data-driven recommendations in various sectors, such as tourism
• Resources and tools to further develop expertise in data science and analytics