CS 450: Introduction to Data Science
CS 450: Introduction to Data Science
Course Information
Institution: Regis University
Department: Computer and Information Sciences
Level: Graduate
Prerequisites: Statistics, Programming Experience
Course Overview
This graduate-level course provides a comprehensive introduction to data science fundamentals. Students learn practical skills in data collection, cleaning, analysis, and visualization using industry-standard tools and techniques.
Key Topics
- Data collection and preprocessing
- Exploratory data analysis
- Statistical analysis and hypothesis testing
- Data visualization techniques
- Introduction to machine learning
- Real-world case studies and applications
Learning Outcomes
- Collect and preprocess diverse datasets
- Perform comprehensive exploratory data analysis
- Apply statistical methods and hypothesis testing
- Create effective data visualizations
- Implement basic machine learning techniques
- Develop practical debugging skills for data science
- Work with real-world datasets and industry applications