DATA 125 - Descriptive Analysis

Credits: 5
Variable Credit Course: No

Lecture Hours: 55
Lab Hours: 0
Worksite/Clinical Hours: 0
Other Hours (LIA/Internships): 0

Course Description: Gain practical experience in analyzing business data, focusing on real-world scenarios across various industries. Through a hands-on approach, learn to effectively summarize, interpret, and explain a dataset to inform decision-making. The ability to write clear and compelling data insights in diverse business environments is emphasized.

Prerequisite: DATA 115 and BUS 120 with a C or higher; or Dept. Chair permission.
Meets FQE Requirement: No
Integrative Experience Requirement: No

Student Learning Outcomes

Summarize large datasets through grouping and aggregation.
Interpret data tables to extract meaningful insights.
Calculate core metrics tracked in various organizational domains.
Conduct a trend analysis with time-series data.

Course Contents

Data aggregation.
Data summarization.
Data interpretation.
Industry metrics.
Time-series analysis.
Common pitfalls in data analysis.

Instructional Units: 5