DATA 3010: Computer Applications of Statistics

3 Credit Hours

Prerequisite: STAT 1401 or ECON 2300 or STAT 3125 or STAT 2332 or MATH 3332
This is an intermediate survey course of computer-based statistical software applications in the analysis and interpretation of data. Topics include developing a proficiency in coding in multiple languages through quantitative applications. Software packages include the most in-demand statistical languages and packages in the marketplace. (e.g. Python, SAS, R)

Course Learning Outcomes
Students who successfully complete this course will be able to:

Function as an informed user and critical consumer of statistics able to answer questions in an intelligent, informed, and insightful manner and pose intelligent questions concerning data, data analysis, and software use.
Obtain and correctly interpret the measures of central tendency and dispersion of a data set.
Generate and correctly interpret a variety of graphics for both univariate and multivariate analyses.
Generate random numbers and use them to perform Simple Random Sampling.
Generate and correctly interpret confidence intervals.
Represent themselves as proficient in each of these packages in a job interview or professional environment.
Identify types of statistical variables.
Differentiate the roles of explanatory and response variables.
State a proper research hypothesis.
Choose an appropriate statistical analysis for a given situation.
Summarize and communicate analysis results through a professional document.