MATH 137 combines descriptive statistics concepts such as probability techniques, gathering and summarizing data and relationships between variables, inferential statistics concepts such as confidence intervals, hypothesis testing such as chi-square, t-tests, and analysis of variance, decision making, and the application of technology to statistical analysis using Python. Students will study correlation and regression analyses such as linear models and the application of technology for statistical analysis including the interpretation of the relevance of the statistical findings to data science. The course teaches critical concepts and skills in quantitative reasoning and statistical analysis, in conjunction with hands-on analysis of real- world datasets, including economic data, document collections, geographical data, and social networks. It also delves into social issues surrounding the ethical use of data.