COMP 5370 Statistical Analysis for Data

Applies statistical methods and probability theory to interpret data trends and validate hypotheses.

About this course

COMP 5370 Statistical Analysis for Data introduces the statistical methods and probability theory needed to interpret data trends and validate hypotheses. You will learn to move beyond simple data description and use statistical inference to draw conclusions from complex data sets.

The course covers probability distributions, hypothesis testing, regression analysis, and correlation. You will use statistical software to perform analyses and interpret results in the context of business and technology applications. By the end of the course, you will be able to communicate statistical findings clearly in technical reports.

Who takes this course

• Data Analytics

Credits: 3 · Hours: 45

Prerequisites

• COMP 1240 Computer Systems Fundamentals
• COMP 1510 Programming Logic and Design
• COMP 1400 Database Management Systems

Learning outcomes

• Apply probability distributions to model real-world data sets
• Conduct hypothesis testing and confidence interval analysis
• Perform regression and correlation analysis using statistical software
• Interpret statistical results to support data-driven decision-making
• Communicate statistical findings clearly in technical reports

Evaluation