Analyzing data is an essential part of business decisions, policy-making, in the world of finance, healthcare, logistics and it has changed virtually all areas of life. Data scientists, statisticians and economists who understand data can make a lasting impact on their companies, their field, and the world. This course will introduce students to the basics of analyzing data and how data can inform business or policy actions. The course also covers basic econometric methods such as linear regressions, and the most recent developments and issues in data science, such as Big Data, Machine Learning, and the impact of Artificial Intelligence. The course is built with an emphasis on application where students will learn statistical and analytical methods through case studies and datasets. The course utilizes SAS Studio (in SAS OnDemand for Academics) and MS Excel to dive deeply into multivariate regression models and logistic regressions with mainly cross-sectional and time series data. Students will manipulate data, estimate and evaluate models, interpret coefficients, test hypotheses, create basic graphs, and make forecasts and predictions. Students have the option to earn several SAS badges and certificates throughout the semester.
After completing this course, students will be able to: