Karabakh University Courses

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[KOM 205] Data Analysis

Course Code

KOM 205

Credits

Instruction Language

Azerbaijani

Course Type

Elective - Block 1

Course Description

This course introduces the methods and tools used to extract meaningful insights from raw data to support decision-making. The curriculum covers data cleaning, exploratory data analysis (EDA), and statistical modeling using tools like Python or R. Students learn to apply various techniques, including regression, clustering, and data visualization, to identify patterns and trends. The course emphasizes the use of libraries such as Pandas and Matplotlib for handling large datasets. By the end of the semester, students will be proficient in interpreting complex data and presenting actionable findings through clear, professional reports.

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