CSCI 250 - Data Science Capstone

5 Credits

This capstone course provides students with the opportunity to apply their data science skills to a real-world project. Students will work individually or in small teams to define, plan, and execute a data science project from start to finish. The course emphasizes the entire data science workflow, including problem definition, data collection and cleaning, exploratory data analysis, modeling, and communication of results.

Pre-requisite(s) CSCI 132, CSCI 232, CIS 218, and MATH& 146 with min 2.0
Fees

Quarters Typically Offered
Designed to Serve Students completing the Associate’s Degree in Data Science program.
Active Date 20240729T13:47:17

Grading Basis Decimal Grade
Class Limit 24
Contact Hours: Lecture 55
Total Contact Hours 55
Degree Distributions:
ProfTech Course Yes
Restricted Elective Yes
Course Outline

Project selection and scoping
Data acquisition and preprocessing
Exploratory data analysis
Feature engineering and selection
Model development and evaluation
Results interpretation and visualization
Project presentation and documentation

Student Learning Outcomes
Define and scope a data science project that addresses a real-world problem.

Collect, clean, and preprocess data from various sources.

Conduct exploratory data analysis to gain insights and inform modeling decisions.

Develop and evaluate appropriate machine learning models for the chosen problem.

Interpret model results and communicate findings effectively through visualizations and reports.

Demonstrate proficiency in using data science tools and technologies in a project setting.

Work collaboratively in a team environment and manage project timelines and deliverables.