BAI 303 - Advanced Modeling

3 Credit(s)

Prerequisites: CAIS 101 CAIS 191 CAIS 201 BAI 301 BAI 302 Must be completed prior to taking this course.
This course offers students a comprehensive introduction to inferential statistics and modeling. Participants will acquire a solid understanding of statistical methods for testing business hypotheses and constructing confidence intervals. The curriculum emphasizes hands-on experience in exploratory data analysis, utilizing techniques such as correlations, graphs, and clustering. Students will further enhance their skills by developing and interpreting statistical models to predict business outcomes. The practical aspect of the course extends to exploring data mining methods and engaging in the application of machine learning models to classify various business behaviors. The culmination of the course involves students creating and delivering the results of their advanced analytics projects in a presentation tailored for business decision-makers. Emphasis is placed on clear, jargon-free language to ensure effective communication of complex analytical insights.