Data Analytics and Visualization


Content, progress and pedagogy of the module

The course provides an understanding of different analytical strategies and their implications for data modelling, including descriptive and predictive approaches. It also provides hands-on experience with different data visualization techniques and their analytical contributions.

Learning objectives


In this module students will acquire knowledge of:

  • Descriptive analytics, such as social network analysis and dimensionality reduction
  • Predictive analytics, such as regression and machine learning
  • Techniques for data visualization.


In this module students will acquire skills in:

  • Conducting data-driven analysis
  • Conducting participatory data design with users
  • Identifying, comparing, and selecting relevant techniques for describing and analyzing data about user behavior, interaction, and/or opinions
  • Selecting the optimal data visualization techniques for describing and analyzing digital trace data.


In this module students will acquire competences in:

  • Applying analytical tools to real-world cases
  • Taking an analytical, reflective and critical approach to the analysis, visualization, and interpretation of collected research data.



Name of examData Analytics & Visualization
Type of exam
Oral exam
Students must submit a blog post with relevant data visualization and narration. Textual narration should be adapted to the format of a blog post and not exceed 1000 words.

Students may submit the blog post in groups.

Duration of examination: 15 minutes per student and 5 minutes per group for assessment and announcement of result.
20 minutes in total for individual examinations.
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleData analyse og visutalilet
Module codeKAINFOS1710
Module typeCourse
Duration1 semester
Language of instructionEnglish
Location of the lectureCampus Aalborg
Responsible for the module


Study BoardStudy Board of Communication and Digital Media
DepartmentDepartment of Communication and Psychology
FacultyThe Faculty of Humanities