CNIT 48200: Six Sigma Data Quality For Continuous Improvement

3 Credits

Spring 2025LectureLaboratory
Spring 2025 Instructors(1)
Chad Laux
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Purdue CatalogCatalog

A study of data quality for Six Sigma level of improvement, applying a Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) improvement methodology, utilizing information tools and techniques. The course addresses advanced topics in statistical based continuous improvement, data quality; and Big Data Analytics concepts, as pertains to systematic problems. An embedded certificate in SS is included in the body of knowledge.

Course CNIT 482 from Purdue University - West Lafayette.

Prerequisites

Course Overview

Course GPA

GPA: 3.12
Grade Distribution% of Students
A
B
C
A: 41%
B: 36%
C: 21%
F: 3%

Data Averaged From:

Instructors1 instructor
Semesters3 semesters

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Fall 2025 Schedule:

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