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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 Computer and Information Sciences
  2. Department of Data Science and Analytics (English)
  3. Course Structure Diagram with Credits
  4. Exploratory Data Analysis and Visualization
  5. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 21/07/2026

Code - Course Title Course Type Laboratory + Practice ECTS
VBA202 - Exploratory Data Analysis and Visualization IV. SEMESTER 3 +0 6.0
Language of Instruction İngilizce
Course Type Required Courses
Course Instructor(s) ARAŞ. GÖR. DR. ÖNDER DORAK
Mode of Delivery Face to face
Place of Delivery
Used Educational Platforms
Prerequisites
Courses Recomended
Recommended Resources
Work Placement
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Data exploration: Understanding large datasets
Week - 2 Handling missing values
Week - 3 Managing outliers in complex data
Week - 4 Visual analytics: Relationship between variables
Week - 5 Interactive dashboards conceptualization
Week - 6 Data storytelling techniques
Week - 7 Visualization tools: Using Tableau basics
Week - 8 Advanced visualizations in Tableau
Week - 9 Visualization tools: Using PowerBI basics
Week - 10 Advanced visualizations in PowerBI
Week - 11 Interactive reporting: Integrating outputs into Quarto
Week - 12 Creating dynamic statistical reports
Week - 13 Communicating insights through visual storytelling
Week - 14 Final dashboard presentations

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

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