INTRODUCTION TO APPLIED DATA ANALYTICS

Teaches foundational data analysis and business intelligence concepts, theories, and skills that inform data driven decisions. Students gather and manipulate large data sets to address real-world cases and generate insights for data driven decision-making. Students apply data manipulation tools such as pivot tables, visualization tools and statistical applications in Excel. Topic areas in statistics include data summary, probability, hypothesis testing, linear regression, time-series, classification algorithms, and biases in data. Graduate students in this course will complete projects requiring greater depth of understanding and analysis than the undergraduate course of the same title. Graduate students in this course will complete projects requiring greater depth of understanding and analysis than the undergraduate course of the same title. They will be evaluated for higher level learning outcomes than undergraduates as well.