DATA 105 - Exploring Data Science and Technological Applications

Credits: 5
Variable Credit Course: No

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

Course Description: Building on foundational skills in data management and analytics, this course provides next-step introduction to more intermediate and advanced concepts and applied skills such as working with data analytics and data visualization. Hands-on experience in exploring data science tools in cloud computing environment is introduced.

Prerequisite: DATA 120 with a C or higher.
Meets FQE Requirement: No
Integrative Experience Requirement: No

Student Learning Outcomes

Demonstrate how to perform data analysis using current tools.
Execute data models including content and structure.
Demonstrate how to use cloud services in the data science process.
Discuss the role of data science in solving real-world problems.

Course Contents

Data analysis techniques using modern tools.
Data model content and structure.
Introduction to data analytics process.
Introduction to modeling cycle.
Introduction to data cleaning and preparation concepts.
Introduction to model training, evaluation and deployment concepts.

Instructional Units: 5