DATA 101 - Introduction to Data

Credits: 5
Variable Credit Course: No

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

Course Description: Dive into the world of data with this foundational course, that covers the entire data lifecycle from collecting data to communicating insights. Learn foundational concepts in data storage, data preparation, data analysis, and data visualization. Advanced topics, which include machine learning and the role of AI in analytics, are introduced.

Prerequisite: None.
Meets FQE Requirement: No
Integrative Experience Requirement: No

Student Learning Outcomes

Explain data storage solutions including relational databases.
Explain data preparation including the structuring, cleaning, and enriching of data.
Complete basic data analysis for multiple business scenarios to derive summary statistics.
Create basic data visualizations to communicate data and insights.

Course Contents

Data lifecycle and terminology.
Data types, file types, and file storage.
Relational databases and SQL.
Data extraction and data ingestion.
Data cleaning and structuring.
Data aggregation and summarization.
Levels of analysis and scenarios.
Charts and dashboards.
Machine learning fundamentals.
AI and data.

Instructional Units: 5