Welcome, Guest . Login . Türkçe
Where Am I: Ninova / Courses / Faculty of Science and Letters / MAT 381E - Veri Bilimine Giriş

MAT 381E - Introduction to Data Science

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 Coordinator
Atabey Kaygun
Atabey Kaygun
Course Language
Courses . Help . About
Ninova is an ITU Office of Information Technologies Product. © 2024