Basic Software Tools for Data Analysis

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Overview

Subject code

OPR

Course Number

9750

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