MAT 223: STATISTICS FOR DATA SCI W/PYTHON

This Statistics for Data Science with Python course introduces the mathematical techniques of statistical methods, which apply to analyzing data and to solving a variety of data science problems. Topics include data gathering, organizing data using descriptive statistics, visualizing data, finding relationships between variables, probability distributions, expected values, hypothesis testging, introduction to ANOVA (analysis of variance), regression and correlation analysis using Python and Jupyter Notebooks. This course is required to complete a culminating project to apply various statistical tools in the course to real-world data science problems and to demonstrate an understanding of statistical procedures of data analysis. Prerequisites: grade of C or better in MAT 103 and in MAT 215