Akademik Dersler - Tanıtım

Last Updated: 30/09/2026

Code - Course Title	Course Type	Laboratory + Practice	ECTS
BVA209 - Applied Data Analysis	III. SEMESTER	2 +2	5.0

Language of Instruction	Türkçe
Course Type	Required Courses
Course Instructor(s)	ÖĞR. GÖR. DR. BÜLENT BATMAZ
Mode of Delivery	Face to face
Place of Delivery
Used Educational Platforms
Prerequisites	Basic Mathematical Knowledge
Courses Recomended	Basic Mathematical Knowledge
Recommended Resources	Faculty Recommendation
Work Placement	N/A
Aims of the Course

Weeks	Learning Outcomes	Topics	Teaching Methods
Week - 1		Introduction to Data Analysis and Basic Concepts and Statistical Foundations: Measures of Central Tendency and Dispersion
Week - 2		Probability and Probability Distributions
Week - 3		Data Collection Methods and Dataset Cleaning
Week - 4		Data Visualization: Charts, Tables, and Graphs
Week - 5		Descriptive and Summary Statistics
Week - 6		Inferential Statistics: Confidence Intervals and Hypothesis Testing
Week - 7		Regression Analysis: Simple and Multiple Regression Models
Week - 8		Time Series Analysis and Trend Examination
Week - 9		Fundamentals of Data Mining: Classification and Clustering
Week - 10		Machine Learning: Supervised and Unsupervised Learning
Week - 11		Big Data and Data Analysis Applications
Week - 12		Ethical and Legal Issues: Data Privacy and Security
Week - 13		Data Analysis Applications: Real-World Datasets with Industrial and Academic Examples
Week - 14		Assessment and Application of Data Analysis Skills

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Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
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