MIS 478 Data Analytics

Data analysis is the process of modeling data with the goal of discovering useful information, informing conclusions and supporting decision-making.  Topics may include: R and Python Data Science Languages, Classical Methods, Descriptive Statistics, Inferential Statistics, Predictive Analysis, Multivariate Analysis, Factor Analysis, PCA, PLS, SEM, Discriminant Analysis, Canonical Correlation and Optimization.

Credits

3

Prerequisite

MIS 477