Data Science for the Molecular Sciences
This class covers key data science topics, principles, and techniques used in the molecular sciences including question formulation, data collection and cleaning, visualization, statistical inference, predictive modeling, and decision making. Students will learn how to use the Python programming language and its libraries for data transformation, querying, analysis, machine learning, visualization, statistical analysis, and scalable data processing.
Prerequisites & course information
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Sources
- Course catalogue ↗2026-2027