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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Faculty of Economics and Administrative Sciences
  2. Department of Management Information Systems (English)
  3. Course Structure Diagram with Credits
  4. Data Visualization
  5. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
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Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
YBS304 - Data Visualization VI. SEMESTER 3 +0 5.0
Language of Instruction İngilizce
Course Type Required Courses
Course Instructor(s)
Mode of Delivery Face to face
Place of Delivery
Used Educational Platforms
Prerequisites None
Courses Recomended None
Recommended Resources Relevant sources in the literature
Work Placement Practical issues are covered in the course
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 History of Data Visualization
Week - 2 Data Types, Attribute types, Dataset types (Tables, Networks, field, geometry)
Week - 3 Marks and Channels, Using the correct marker (Points, Lines, Areas)
Week - 4 Channel usage and effectiveness
Week - 5 Data Abstraction, data grouping and visualization; arrange tables, word clouds
Week - 6 Scatterplots, bar charts, streamgraphs, dot and line charts; bar charts
Week - 7 Streamgraphs, Dot and Line Charts
Week - 8 Matrix alignment (cluster heatmaps , scatterplot Matrix )
Week - 9 Color Theory, Color maps and Other channels
Week - 10 Data visualization softwires and tools
Week - 11 Spreadsheets
Week - 12 Tableu
Week - 13 Google data studio
Week - 14 Advanced data visualization tools

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%)

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