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Dec 21, 2024
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CS 3310 - Data Science Practicum3 lecture hours 2 lab hours 4 credits
Course Description
This course provides students the experience of working in a team on large-scale data analysis projects using extensive data sets provided by industry, academic researchers, and the government. Students are given access to data sets and directed questions, and the students apply the theory and practices from previous courses to propose hypotheses and evaluate those hypotheses. Projects end with teams presenting their results to their client both verbally and in written form. Includes discussions of principles for effective data visualization. (prereq: CS 3300 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Work with a team to identify customer requirements and collaborate on solutions
- Apply data science practices and techniques to analyze extensive data sets
- Develop and evaluate hypotheses for real-world problems
- Communicate project methods and results in written and oral form
- Collaborate with team members through agile practices, versioning systems, and project tracking software
- Discuss principles for effective data visualization and apply those principles to real-world problems
- Apply ethical data collection standards to scenarios and discuss responses
Prerequisites by Topic
- Experience with data preparation, data analysis, factor analysis, statistical inference, predictive modeling, and data visualization
- Data manipulation and analytics using scripting languages and interactive methods
Coordinator
Dr. Robert Hasker
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