MATH 250 : Data Analysis

Introduces the fundamental concepts and practices of data analysis using Python. Students will learn how to manipulate, clean, and analyze datasets using key libraries such as NumPy, Pandas, and Matplotlib. The course covers basic statistical and descriptive analysis, including measures of central tendency, variability, and data distribution, as well as techniques for data visualization. Emphasis is placed on hands-on application, enabling students to explore datasets, extract meaningful insights, and communicate results effectively.