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STATS 147

See course

Data Technologies for Data Scientists

Requisites: courses 100B or Mathematics 170S, 101A, 101C or Mathematics 156.

17 courses across 4 departments, 7 choice points · 3 requisite links run off the edge of this view

STATS 147 — Data Technologies for Data ScientistsSTATS 147Data Technologies for…STATS 100B — Introduction to Mathematical StatisticsSTATS 100BIntroduction to Mathem…STATS 100A — Introduction to ProbabilitySTATS 100AIntroduction to Probab…MATH 32B — Calculus of Several VariablesMATH 32BCalculus of Several Va…MATH 33A — Linear Algebra and ApplicationsMATH 33ALinear Algebra and App…MATH 170A — Probability Theory IMATH 170AProbability Theory IMATH 131A — AnalysisMATH 131AAnalysisMATH 170E — Introduction to Probability and Statistics 1: ProbabilityMATH 170EIntroduction to Probab…MATH 156 — Machine LearningMATH 156Machine LearningCOM SCI 31 — Introduction to Computer Science ICOM SCI 31Introduction to Comput…COMPTNG 10A — Introduction to ProgrammingCOMPTNG 10AIntroduction to Progra…MATH 115A — Linear AlgebraMATH 115ALinear AlgebraMATH 164 — OptimizationMATH 164OptimizationMATH 170S — Introduction to Probability and Statistics 2: StatisticsMATH 170SIntroduction to Probab…MATH 31A — Differential and Integral CalculusMATH 31ADifferential and Integ…MATH 1 — PrecalculusMATH 1PrecalculusMATH 31B — Integration and Infinite SeriesMATH 31BIntegration and Infini…one ofone ofone ofAlso satisfied by MATH 3B, MATH 32A, not drawn in this view.one of +2one ofone ofAlso satisfied by MATH 101C, which UCLA names as a requisite but does not publish in this catalog.one of +1
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