Welcome to the Advanced Analytics Course! This course is designed to provide you with hands-on experience using real-world data to guide decision-making processes. You will work with an Octagonal Analytics Platform (Plátano), which integrates data analysis techniques into anticipative decision-making workflows.

Recommended readings for Plátano, see:

• Collective intelligence: short-term anticipation of coexistence issues
• Human Development Oriented Policing
• Anticipative decision-making committees for human security
• Data analytics for citizen security
• La Silla Vacía

Key Features of the Course

1. Real-World Data:

   • You will analyze real datasets, such as crime statistics from the Colombian National Police, available at:
     Estadística delictiva.

2. Collaborative Workflow:

   • All activities will be submitted via pull requests in the course's GitHub repository:
     Advance Analytics Course Repository.
   • This ensures a collaborative and version-controlled environment.

3. Use of Generative AI:

   • You are encouraged to use generative AI tools (e.g., ChatGPT, DeepSeek) to assist with your work.
   • Important: When submitting activities, include the prompts you used to generate any AI-assisted content.

4. Languages:

   • All activities submitted to the course repository must be in English.
   • Other communications (e.g., emails, discussions) can be in Spanish.

5. Hands-On Learning:

   • The course emphasizes practical applications, enabling you to develop skills that are directly applicable to real-world decision-making scenarios.