FI2BCID05 Interactive Dashboards

FI2BCID05 Interactive Dashboards

  • Course description
    • Course code
      FI2BCID05
    • Level of study
      5.1
    • Program of study
      Data Analyst 1
    • Credits
      5
    • Course coordinator
      Bertram Haskins, Alec Du Plessis
Teaching term(s)
2025 Spring
Authors
Alec Du Plessis
About the Course

This course teaches candidates how to connect the programmatic data solutions’ outcomes to a user-friendly front-end system. Throughout the year, candidates will engage with many interactive elements from the Python and Industry Tools content capable of connecting with interactive components in popular front-end systems. In this course, candidates will be taught how to connect those data exit points to premade dashboard elements widely used within the industry. Candidates will be taught the basics of universal design principles and given user experience guidelines as self-study.

This course teaches advanced visualisation tools in the industry to allow end-users to engage with data analysis results in real-time. Candidates will be taught universal design principles for interactive tools and how to interface these tools to the results acquired from data analysis exit points. This course requires the competencies acquired in all prior courses in the year.

Course Learning Outcomes
Learning outcomes - Knowledge

The candidate:

  • has knowledge of industry-relevant front-end systems that are used to display information
  • has knowledge of industry-relevant real-time visualisation tools that are used to display and communicate the data analysis results to clients
  • has knowledge of general universal design principles that apply to the development of interactive user interfaces
  • can assess own work with interactive dashboards in relation to the general universal design principles
  • has insight into own opportunities for further development in the field of universal design principles and user experience design
Learning outcomes - Skills

The candidate:

  • can explain vocational choices to process output from all analysis tools into an interactive user interface
  • can explain vocational choices in the process of creating accessible data visualisations on a real-time platform
  • can reflect on own vocational practice of creating user-friendly front-end systems and adjust it in accordance with user feedback
  • can find and refer to vocational material about universal design principles and assess it for the development of user-friendly front-end systems
General Competence

The candidate:

  • can plan and carry out user-friendly front-end systems to assist end-users in understanding the results created by industry data tools alone or as part of a group and in accordance with ethical requirements and universal design principles
  • can contribute to organisational development using visualised data from the data project as a point of communication
Teaching and Learning

In this course, the following teaching and learning methods can be applied, but are not limited to:

  • Lecture: Educator-led presentations or activities providing knowledge, skills, or general competencies in the subject area.
  • Group work: Collaborative activities where students work together to solve problems or complete tasks.
  • Tutoring: One-on-one or small group sessions with an instructor for personalized guidance and support.
  • Student presentations: Opportunities for students to demonstrate their understanding of course material by presenting to peers.
  • Online lessons: Digital content delivered via an online learning platform.
  • Guidance: Individualized advice and direction from instructors to support students in their learning journey.
  • Workshops: Practical sessions focused on hands-on application of theoretical concepts or skills.
  • Self-study: Independent study where students engage with course material on their own without any teacher support.
Reading list

Teaching materials, reading lists, and essential resources will be shared in the learning platform and software user manuals where applicable.

Assessments
Form of assessmentGrading scaleGroupingDuration of assessment
Course Assignment
Pass / Fail
Group/Individual
1 Week(s)
Approved by
x.x
Accreditation
x.x