Course Information

Course Name	Turkish	Veri Görselleştirme
	English	Data Visualization
Course Code	YZV 475E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	-	3	3	-	-
Course Language		English
Course Coordinator		Sefer Baday
Course Objectives		1. To give the ability to understand data visually and the purpose of visualisation 2. To give the ability to select the appropriate visualisation techniques for different data representations 3. To give the ability to solve a problem using data visualisation techniques 4. To give the ability to read, interpret and visualise multi-dimensional and complex data representations
Course Description		This course covers data visualization techniques from simple linear data forms to more complex, multi-dimensional data representations, and aims to improve the knowledge on analyzing and interpreting data that are taught in introductory data science courses
Course Outcomes		Students who pass the course will be able to: 1. Read, interpret and transform the data for visualization 2. Grouping, filtering, sorting data for visualisation 3. Decide the most appropriate visualization techniques for a data sample 4. Answer the questions through visual representations of data 5. Understand multidimensional and complex data and apply the appropriate visualization techniques
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Required Facilities
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