This course offers comprehensive coverage of basic applied statistics for use in social policy research, evaluation, market research and data consulting. Topics will include univariate and bivariate descriptive statistics, inferential statistics, hypothesis testing and linear regression techniques. Students will learn to calculate and interpret these statistics using a variety of software packages. They will also gain experience in creating data visualizations for their work in professional settings. May be repeated for a maximum of 9 credits.