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ISTANBUL GELİŞİM UNIVERSITY INFORMATION SYSTEM

VERİ ANALİTİĞİ COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
VBA106 VERİ ANALİTİĞİ 2 3 3 7

Objectives and Contents
Objectives: The objective of this course is to enable students to understand the fundamental concepts and processes related to data analytics and to acquire the skills to collect, organize, clean, summarize, visualize, and interpret data of various types and structures. The course aims to enable students to appropriately apply basic descriptive statistical methods, derive meaningful insights from real-world data, and evaluate these insights in data-driven decision-making processes. Additionally, the course aims to equip students with the ability to report their analysis results in a clear, understandable, and effective manner.
Content: Basic concepts of data analytics; data types and levels of measurement; data collection methods; organizing, coding, and cleaning data; examination of missing and outlier values; data transformation processes; descriptive statistics; data visualization using tables and graphs; basic examination of relationships between variables; analysis of real-world datasets using appropriate tools, interpretation of findings, and reporting of analysis results.