MCCCD Program Description

Descriptive Analytics

Course: CIS316

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: Study of descriptive analytics and how to apply statistical tools and methods on historical and current datasets and multi-domain cases. Interpret current data, identify changes, trends and commonalities in data, and how to ascertain differences in performance over time while preparing data for advanced analysis.

MCCCD Official Course Competencies
1. Acquire datasets that will inform advanced analysis. (I) 2. Prepare datasets that will inform advanced analysis. (II, III) 3. Demonstrate understanding of historical and current datasets. (IV) 4. Analyze datasets that will inform advanced analysis. (V) 5. Apply math and statistical tools on historical and current datasets. (V) 6. Interpret historical and current datasets. (V) 7. Create graphs and charts to represent non-inferential, non-predictive findings. (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 acquisition II. Data preparation III. Extract, transform, load (ETL) IV. Data analysis V. Statistical tools and methods VI. Data presentation

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.