Minor in Data Science (rough sketch)
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CourseKey topics to coverPrerequisites
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A
Introduction to Programming
Python, fundamentals of codingNone
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BLinear AlgebraMatrix fundamentals, Least squares, Eigenvalues & EigenvectorsMathematical Maturity
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CStatisticsRegression, Hypothesis testing, Basic probabilityMathematical Maturity
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DWorking with DataSQL, Data wrangling (acquisition, selection, cleaning, missing data, evaluation), Ethics, Visualization. Project A
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EMachine LearningOptimization, supervised (train/test/validate, overfitting, unbalanced data, logistic regression, SVM, random forests), unsupervised (k-means, dimension reduction) ProjectA,B,C,D
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