Introduction to Data Science
Introduction to Data Science
Course Information
Institution: Regis University, Denver, CO
Department: Marketing and Data Science
Level: Graduate
Prerequisites: None
Course Description
This course provides a comprehensive introduction to the field of data science, covering its applications, methodologies, and ethical implications. Students will develop foundational skills in statistical analysis and machine learning through hands-on exercises and real-world projects. The course emphasizes practical application of data science tools and techniques to solve complex problems and create data-driven solutions.
Learning Outcomes
Upon successful completion of this course, students will be able to:
- Articulate the scope and applications of data science as an emerging field
- Understand the data science project lifecycle and the roles of data scientists
- Characterize Big Data using volume, variety, and velocity principles
- Apply ethical considerations in data collection, analysis, and interpretation
- Implement statistical and machine learning techniques for data modeling
- Develop recommender systems using modern data science frameworks
- Create data-driven solutions for real-world challenges
Course Schedule
| Week | Topic |
|---|---|
| 1 | Introduction to Data Science and EDA |
| 2 | Data Cleaning and Preparation |
| 3 | Statistical Analysis and Visualization |
| 4 | Machine Learning Fundamentals |
| 5 | Decision Trees and Feature Selection |
| 6 | Data Science Automation and Tools |
| 7 | Recommender Systems and Big Data |
| 8 | Social Media Data Collection and Analysis |