Statistical Computing

Statistical Computing
Create and interact with relational databases comprised of large real world data; integrate previous course work into a single research project from formulation to final report; solve statistical problems using a combination of SAS, R, and SQL skills.
 Hours3.0 Credit, 3.0 Lecture, 2.0 Lab
 PrerequisitesSTAT 223 & STAT 224 & STAT 330
 ProgramsContaining STAT 381
Course Outcomes

Design and create databases

Demonstrate ability to design and create databases for collecting and storing study data, including structures and tools to simplify the process


Be able to use SQL queries from SAS, R, and database tools to work wit databases and extract data for analysis


Use SAS/IML to work with matrices and compute summaries of data including importing data from SAS datasets and exporting results to SAS datasets

Regular expression matching

Use regular expression matching in SAS, R, and other tools to extract relavent parts of data or manipulate text to make data analysis simpler

Write custom R functions

Write custom R functions to analyze data and to pass to other processing tools

Create and run basic simulations

Create and run basic simulations in R and SAS to explore the bahavior or routines and do basic power studies

Additional Tools

Demonstrate knowledge about additional tools in SAS, R, and stand alone tools that could aid in preparing data for analysis