Data Analysis in Practice

Catalog description

Data Analysis in Practice (2) Decision making in business requires selecting the best alternative among many. Businesspeople generally use results from statistical analyses to give the best decision which needs understanding uncertainties and capturing information from data. The course is hands-on and applied and provides a foundation in statistical tools and concepts needed in business settings. Students use business-related data sets and software to describe data, construct probability distributions, estimate numerical descriptive measures, make an inference about a population parameter via hypothesis testing and build regression models. This course builds the foundation for learning artificial intelligence and machine learning content in the subsequent courses within the curriculum. Grading: A-F only. Prerequisite: KSB-113 with grade of C or better. Note: Spring enrollment open only to first-year students; fall enrollment open only to first-year students or sophomores.