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Курс от Johns Hopkins University
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Data Science Decisions in Time: Using Causal Information
Курс от Johns Hopkins UniversityО курсе
This is the fourth course in the specialization and is aimed at those with basic knowledge of statistics, probability and linear algebra. It will prove to be especially interesting for those with datasets that are being used to make decisions: either business, medical, or technology based.
Навыки, которые вы освоите
Data-Driven Decision-MakingRegression AnalysisDecision MakingA/B TestingRandom Forest AlgorithmPrecision MedicineClinical TrialsOnline AdvertisingEstimationDecision IntelligenceMachine LearningAnalysisGraphingMedical Science and ResearchBusiness AnalyticsHealth PolicyTreatment PlanningClinical ResearchData Science
Программа курса
6 модулей · 37 учебных материалов
01Sequential Causal Decisions7 материалов
Understanding the Data for Causal Decision Making
Pearl's Ladder of CausationВидеоHealthcare Decisions in Time: OverviewВидеоCausal A:B Testing Using EconMLВидеоCan You Read About It?ЧтениеУчитесь у экспертов
Thomas Woolf
Professor