Basic Software Tools for Data Analysis
Download as PDF
Overview
Description
This course provides an understanding of the principles and concepts of using computer tools for data analysis. Students will learn to use the SAS programming language to handle the collection, editing and storing of large datasets, as well as to simulate data, import and export data from and into spreadsheets or other statistical software packages. They will gain experience in analyzing both quantitative and qualitative data, as well as repeated measure data. Written projects and class presentation will prepare students for clear communication of their analysis in professional settings. This course is designed primarily for statistics and quantitative methods and modeling (QMM) majors, PhD candidates, and those interested in carrying out sophisticated statistical analyses of data using statistical software.
Career
Graduate
Credits
Value
3
Max
3
Min
3
Course Count
1
Number Of Credits
3
Number Of Repeats
1
Repeatable
No
Contact Use
Yes
Generate Attendance
No
Left Use
Yes
Present Use
Yes
Reason Use
Yes
Tardy Use
Yes
Template Override
No
Time Use
Yes
Attendance Type
Class Meeting
Auto Create
No
Code
LEC
Instructor Contact Hours
3
Default Section Size
35
Final Exam Type
Yes
Include in Dynamic Date Calc
No
Instruction Mode
In Person
LMS File Type
Blackboard CourseInfo 4
Name
Lecture
OEE Workload Hours
0
Optional Component
No
Preferred Room Features
Academic Scheduling
Workload Hours
3