FTA 4000 - Data Analysis in Finance & Economics

Description

Analyzing data is an essential part of business decisions and has changed virtually all areas of life. This course will introduce students to the basics of analyzing data and how data can inform business decisions. The course is built with an emphasis on application where students will learn statistical and analytical methods through case studies and datasets to visually present data, estimate simple and multivariate regression models, evaluate the results, test hypotheses, and make forecasts and predictions. Some of the most recent developments and issues in data science, such as Big Data, Machine Learning, and the impact of Artificial Intelligence are also discussed.

Learning Objectives

• Understand the basics of analyzing data and how data informs business or policy actions.
• Identify and appreciate issues and developments in data science, such as Big Data, Machine Learning, and the impact of Artificial Intelligence.
• Apply basic econometric methods such as linear regression.
• Use SAS Studio (in SAS OnDemand for Academics) and EXCEL to visually present data.
• Deal with problems that arise from not having clean data.