filmeu

Class Data Science

  • Presentation

    Presentation

    Acquire and develop skills to represent and interpret reality through data and to use artificial intelligence methods to identify patterns and make predictions.

  • Code

    Code

    ULHT6606-23869
  • Syllabus

    Syllabus

    • Data preparation
    • Database modeling
    • Business intelligence
    • Descriptive statistics
    • Visualization
    • Python
    • CRISP-DM
    • Classification
    • Prediction
    • Cluster analysis
    • Neural networks
  • Objectives

    Objectives

    Current times are characterized by an exponential growth in the volume, variety and velocity of data production. The curricular unit of Data Science aims to teach students, with the support of case studies and software, main methodologies, methods, techniques and tools that underpin the preparation, structuring, description, analysis, inference and visualization of data to extract knowledge, detect patterns and support decision-making. It is intended that students develop skills in identifying problems that can be solved using data science, in describing data, in structuring problems through descriptive and predictive models, in the use of data analysis tools and in the interpretation of the results obtained after applying statistical and artificial intelligence methods.

  • References

    References

    • Moreira, JM, Carvalho, A, Horváth, T (2018) A general introduction to data analytics. Hoboken: Wiley

    • Igual, L, Seguí, S (2017) Introduction to Data Science - A Python Approach to Concepts, Techniques and Applications. Springer

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