ECON 305 - Introduction to Data Modeling through Data Visualization

3.0 Credit(s) | Lecture | Graded (includes P/F option)
for credit

Description:
This course is designed to introduce students to statistical programming, data structure, and statistical inference through the latest data visualization techniques. Students will learn how to visually represent the relationship between two or more variables. Students will also be introduced to the merits and limitations of various causal inference techniques used in answering economic research questions through the use of graphs and hypothesis testing of means. Through a lecture and lab format, students will gain hands-on experience evaluating social scientific data with a statistical software package.

Enrollment Requirements:
Pre-Req= (ECON 101 or ECON 102) and (ECON 205 or MATH 125 or MSIS 111) or instructor permission.

Semester(s) typically offered: Spring

042413:1