DATA 2113 - Introduction to Data Analytics in Transportation & Logistics

Credits: 3

The purpose of this course is to provide students with a solid foundation in basic data analysis techniques necessary for understanding and analyzing transportation related datasets. Data characteristics from a wide ranges of transportation areas including transportation systems and transportation facilities are presented. Topics to be covered include but not limited to transportation modes and characteristics, sampling and data collection, descriptive statistics and data representation, fitting data to distributions, predictive and regression analysis. Commercial statistical analysis software will be used to perform statistical analysis on transportation related datasets in order to make students familiar with presenting the results visually. This course builds the foundation for the students who plan to peruse careers as transportation data analysts. This course serves as the prerequisite for CIVT 3113/DATA 3113 : Advanced Data Analytics in Transportation.

Prerequisite(s): MATH 1113 and CSCI 1130 or CISM 1130
Equivalent
CIVT 2113