MCCCD Program Description

Data Governance, Management, and Quality

Course: CIS216

First Term: 2023 Fall

Lec + Lab 3.0 Credit(s) 4.0 Period(s) 4.0 Load
Subject Type: Occupational
Load Formula: T- Lab Load

Description: Overview of data governance, data management, and data quality concepts and terminology, and the roles of individuals and businesses with respect to data governance, data management and data quality in analytics. Use of word processing, spreadsheet, database and presentation software. Will demonstrate and use data governance, data management and data quality frameworks and models.

MCCCD Official Course Competencies
1. Create data dictionaries and models. (I) 2. Evaluate structured data needs. (II) 3. Evaluate unstructured data needs. (II) 4. Demonstrate understanding of the needs around streaming data versus data that is not streamed. (II) 5. Apply a data governance framework plan to various industries. (III) 6. Describe a data governance team. (IV) 7. Formulate a data strategy for improved business decisions based on data quality worthiness. (V) 8. Demonstrate understanding of the extract/load/transform (ELT) processes of extracting data from one or multiple sources. (VI) 9. Demonstrate understanding of data quality, monitoring, and reporting. (VI)
MCCCD Official Course Competencies must be coordinated with the content outline so that each major point in the outline serves one or more competencies. MCCCD faculty retains authority in determining the pedagogical approach, methodology, content sequencing, and assessment metrics for student work. Please see individual course syllabi for additional information, including specific course requirements.

MCCCD Official Course Outline
I. Data dictionaries and models A. Data dictionaries B. Data models II. Data needs A. Structured B. Unstructured C. Real-time D. Streamed III. Data governance framework components A. Organization B. Technology C. Data architecture D. Policies E. Processes F. Compliance IV. Data governance team A. Data management team B. Data analytics team C. Data quality team V. Data strategy formulation A. Storage B. Recovery VI. Data acquisition and management A. Quality issue management B. Remediation

MCCCD Governing Board Approval Date: August 23, 2022

All information published is subject to change without notice. Every effort has been made to ensure the accuracy of information presented, but based on the dynamic nature of the curricular process, course and program information is subject to change in order to reflect the most current information available.