DAS 340 Applied Statistics for Data Scientists
This is an applied statistics course designed for undergraduate data science students. Topics include exploratory data analysis for categorical and numerical data with data summaries and visualization; simple, multiple, and nonlinear regression modeling; hypothesis testing and confidence intervals for means and proportions. Students will apply these statistical tools to real-world data using R and will develop skills in interpreting and communicating data analysis results.
Prerequisite
Prerequisite: DAS 170, MAT 102, MAT 142, or MAT 211
Distribution
Bachelor, In-Person, Online, Undergraduate