Course Information

Course Name	Turkish	Veri Bilimine Giriş
	English	Introduction to Data Science
Course Code	MAT 381E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	-	3	-	-	-
Course Language		English
Course Coordinator		Atabey Kaygun Atabey Kaygun
Course Objectives		This hands-on course provides students with a practical introduction to data science, with a focus on data cleaning, feature engineering, and geographic data analysis using Python. Students will learn foundational concepts and techniques for importing, cleaning, transforming, visualizing, and extracting insights from complex datasets.
Course Description		Students will learn essential data cleaning skills such as handling missing values, detecting outliers, and transforming features. Through practical exercises using real-world datasets, students will understand various methods for exploratory data analysis and visualization using NumPy, Pandas, SciPy, Matplotlib, and Vega.
Course Outcomes		By the end of the course, students will have developed core practical skills for importing, wrangling, visualizing, and deriving insights from real-world data. Students will complete hands-on assignments and a final project focused on a dataset of their choosing.
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Required Facilities
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Textbook
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