Data Analysis and Statistics

This course offers a comprehensive introduction to data analysis and statistical methods, tailored to meet the demands of engineering and transportation industries. By blending theoretical knowledge with practical applications, students will gain the ability to utilize descriptive and inferential statistics for process planning, organization, and control in both regional and global transportation contexts.
Key learning outcomes include mastering statistical tools in MS Excel, applying optimization techniques, and leveraging programming and software solutions to address real-world challenges. The course also emphasizes building models to support managerial decision-making, enhancing quantitative reasoning, and ensuring ethical considerations in data-driven processes.
Through engaging content such as probability distributions, sampling techniques, regression analysis, and hypothesis testing, participants will develop the skills needed to make informed, data-driven decisions in the dynamic world of transportation and beyond.