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IPLUSO 23084

Data Science Foundations

Computer Applications for Data Science
  • ApresentaçãoPresentation
    The curricular unit (UC) of Fundamentals of Data Science in the Technical Course in Applications for Data Science covers essential concepts in data handling and analysis, forming the foundation for future applications. It includes methods of data collection, organization, and analysis, utilizing computational tools appropriate for processing large volumes of information. This UC is vital to the study program, ensuring fundamental competencies for work in areas like statistics, artificial intelligence, and information management.
  • ProgramaProgramme
    Introduction to Data Science: concepts and applications. Data types and techniques for cleaning and preparation. Exploratory data analysis and descriptive statistics. Introduction to relational databases and SQL queries. Data visualization methods: charts and dashboards. Identifying patterns and trends in data. Basics of Python for data analysis and processing. Practical projects to apply the studied concepts.
  • ObjectivosObjectives
    The learning objectives of the Fundamentals of Data Science course include the development of essential skills in data analysis and processing. Students will be able to understand and apply exploratory analysis methods, manipulate databases, and visualize results. Additionally, they will acquire skills to identify patterns in data, interpret analytical outputs, and use appropriate computational tools, fostering problem-solving in real-world contexts.
  • BibliografiaBibliography
    Hastie, T., Tibshirani, R., & Friedman, J. (2009). The elements of statistical learning: Data mining, inference, and prediction (2nd ed.). Springer  
  • MetodologiaMethodology
    The innovative methodologies supporting the teaching-learning process include the use of digital platforms for interactive exercises, gamification to enhance student engagement, and the integration of projects based on real-world problems. Additionally, practical classes with data analysis tools and collaborative workshops are promoted, encouraging active learning and the direct application of concepts, preparing students for challenges in the job market.
  • LínguaLanguage
    Português
  • TipoType
    Semestral
  • ECTS
    4
  • NaturezaNature
    Mandatory
  • EstágioInternship
    Não