Mathematics for Data Management and Analytics

Mathematical reasoning is a critical foundation for effective data analysis and interpretation. Students build essential skills in statistics, probability, and regression, with an emphasis on applying these concepts to real-world data. They also explore descriptive and inferential statistics, probability distributions, and basic linear algebra used in data transformations. Students summarize data, test hypotheses, and model relationships, preparing for advanced work in data wrangling, analysis, and visualization.