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Statistics & Data Science
Statistical foundations for AI/ML: descriptive and inferential statistics, hypothesis testing, probability theory, digital health psychometry, and advanced mathematical concepts for data science.
Data Science Methodology
Big Data concepts, TGDS (Theory-Guided Data Science), analytics types, EDA (Exploratory Data Analysis), data cleaning, normalization, and validation.
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