Use this page to maintain syllabus information, learning objectives, required materials, and technical requirements for the course. |
STAT 24200 - Introduction To Data Science |
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Associated Term:
Spring 2024
Learning Outcomes: 1. Use Python, R, and selected tools to scrape, clean, process, and visualize data. 2. Apply data management techniques to prepare, parse, manipulate, and store data. 3. Use statistical methods to summarize data and identify relationships. 4. Explain how to formulate new hypotheses and draw accurate conclusions from data. 5. Apply statistics and computational analysis to make predictions based on data. 6. Apply basic computer science concepts such as modularity, abstraction, and encapsulation to data analysis problems. 7. Effectively communicate the outcome of data analysis using descriptive statistics and visualizations. Required Materials: Technical Requirements: |
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