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Class Visualization for Data Science

  • Presentation

    Presentation

    Using graphical representations of data facilitates its understanding and pattern discovery. One of the considerations to take into account when designing data visualizations is how to represent the data, given the visualization goal. This course covers this process by combining the fundamentals of information visualization with the corresponding implementation.

  • Code

    Code

    ULHT6634-24448
  • Syllabus

    Syllabus

    S1 Introduction to information visualization

    S2 Types of charts and their usage

    S3 Implementation and customization of charts in Python

    S4 Design and implementation of dashboards in Python

     

  • Objectives

    Objectives

    LG1 Know the elements required to design a visualization

    LG2 Know the types of visualizations appropriate to each type of data 

    LG3 To have the ability to identify with type of chart to use, given the data visualization goal

    LG4 Know good practices and mistakes to avoid when designing visualizations

    LG5 Know how to create and customize visualizations in Python

    LG6 To have the ability to design a dashboard by accounting to the needs of the end user

  • Teaching methodologies and assessment

    Teaching methodologies and assessment

    This course has a strong practical componente, which is combined with the theoretical fundamentals. Therefore, for each of the topics covered, the classes start with a discussion moment, in which a challenge, related with the topic, is presented to the students. The theoretical fundamentals are then introduced in an explanatory format. To close each topic, the implementation of the initial challenge is introduced, in a tutorial approach.

  • References

    References

    Wilke, C. O. (2019). Fundamentals of Data Visualization. O'Reilly Media, Inc.

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