Data Science
Data analysis, statistics, and visualization
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Comprehensive AI Ethics course with AI-powered learning tools.
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Introduction to supervised and unsupervised learning, neural networks, and deep learning.
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Visual analytics, dashboard design, and communicating insights to stakeholders.
2025-2026 Fall
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Hypothesis testing, experimental design, A/B testing, and causal inference.
2025-2026 Spring
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Distributed computing, Spark, data lakes, and processing massive datasets.
2025-2026 Spring
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Data wrangling, exploratory analysis, visualization, and storytelling with data.
2025-2026 Fall