Introduction to Data Science

Course Details

• Course Title: Introduction to Data Science
• Course Code: MSDS-600
• Credit Hours: 3
• Pre-requisite: None
• Offered To: Master of Science in Data Science
• Level: Undergraduate, Graduate
• Institution: Regis University, Denver, CO, USA
• Faculty: Marketing and Data Science Department
• Semester Offered: Spring 2025

Objectives

This course is designed to give students a comprehensive understanding of the data science field, its various applications, and its ethical implications, making it a highly relevant and valuable investment of their time and effort. Students will acquire foundational statistical analysis and machine learning skills through engaging practical exercises and projects, ensuring that the knowledge gained is directly applicable. By the end of this course, learners will be proficient in data science tools to create recommender systems and tackle data science challenges effectively.

Learning Outcomes

Upon completing the course, students will have a comprehensive understanding of Data Science and feel confident in articulating its scope and applications as an emerging field. They will understand the Data Science project lifecycle and the distinct roles of Data Scientists across engineering-driven, data-product-driven, or commerce-driven domains. Additionally, students will develop skills to characterize Big Data using volume, variety, and velocity, address ethical concerns in data use, and apply statistical and machine learning techniques to model and interpret data. Finally, learners can implement recommender systems using the Hadoop software ecosystem, feeling empowered to apply their knowledge in practical settings.

Course Outline