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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 Communication Sciences
  2. Department of New Media and Communication (30% English)
  3. Course Structure Diagram with Credits
  4. Data Visualization
  5. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
YMİ310 - Data Visualization VI. SEMESTER 2 +2 4.5
Language of Instruction İngilizce
Course Type Required Courses
Course Instructor(s) PROF. DR. MURAT ATAİZİ
Mode of Delivery Face-to-face
Place of Delivery
Used Educational Platforms
Prerequisites There are no prerequisites or corequisites for this course.
Courses Recomended
Recommended Resources Cairo, A. (2016). The Truthful Art: Data, Charts, and Maps for Communication. New Riders.Evergreen, S. D. H. (2016). Effective Data Visualization. SAGE.Kolokolov, A., & Zelensky, M. (2024). Data Visualization with Microsoft Power BI. \" O\'Reilly Media, Inc.\".
Work Placement
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Introduction to data visualization: definitions, purposes, and historical development
Week - 2 Data types and fundamentals of data modeling in Power BI
Week - 3 Power BI interface and basic workflow: importing and preparing data
Week - 4 Chart types and visualization options (bar, line, pie, etc.)
Week - 5 Comparative charts and multi-data display in Power BI
Week - 6 Data relationships, filters, and using slicers
Week - 7 Report design principles in Power BI: visual perception, color theory, and design
Week - 8 Effective presentations and building dashboards
Week - 9 Storytelling and interactive reports in Power BI
Week - 10 Ethics in data visualization and avoiding misleading graphs
Week - 11 Practical examples: analysis with real datasets
Week - 12 Basic calculations with DAX (Data Analysis Expressions) in Power BI
Week - 13 Power BI Service and report sharing
Week - 14 Introduction to basic visualization with Python

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
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