Data Science
DS 5500: Capstone: Applications in Data Science
Lecture - 4 credits
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- Offers students a capstone opportunity to practice data science skills learned in previous courses and to build a portfolio.
- Students practice visualization, data wrangling, and machine learning skills by applying them to semester-long term projects on real-world data.
- Students may either propose their own projects or choose from a selection of industry options.
- Emphasizes the overall data science process, including identification of the scientific problem, selection of appropriate machine learning methods, and visualization and communication of results.
- Lectures may include additional topics, including visualization, communication, and data science ethics.
Offers students a capstone opportunity to practice data science skills learned in previous courses and to build a portfolio. Show more.