Data Analysis & Visualization

Catalog description

This course provides a practical overview of statistical techniques used to analyze and interpret real-world data. Topics include data collection methods, survey design, data cleaning, descriptive statistics, probability distributions, hypothesis testing, simple linear regression and correlation analysis, and analysis of variance (ANOVA). Emphasis is placed on applying statistical concepts to draw meaningful insights and support data-driven decision-making across disciplines.