DS 501 - Statistical Methods of Data Analysis

This course provides a comprehensive overview of the statistical techniques essential for data analysis in a data-driven world. Students will explore both foundational and advanced statistical methods used to extract meaningful insights from complex datasets. Key topics include probability distributions, hypothesis testing, regression analysis, ANOVA, and multivariate analysis. Emphasis will be placed on practical applications using statistical software to analyze real-world data, interpret results, and communicate findings effectively. Through a combination of lectures, hands-on exercises, and projects, students will develop the critical thinking and analytical skills necessary to address diverse challenges in data analytics. Usage of R Studio is required.

Credits: 3