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- Applied StatisticsJCB570Data Science and Decision MakingORIE580Making Predictions With Data ModelsILR514Measuring Relationships and UncertaintyCIS447Creating Data Arrays and Tables in PythonCAC104Summarizing and Visualizing DataCIS446Understanding and Visualizing DataSHA571Data Cleaning With the TidyverseCIS448Individual EthicsCIS591Ethics and the Data LifecycleCIS592Integrating Virtue Ethics into Data Science PracticeCIS593Creating an Ethical Data Science Practice and WorkplaceCIS594Classifying Data With Logistic RegressionCIS449Stakeholder PresentationsCIS450Process PerformanceJCB531Queuing AnalysisJCB532Inventory Management AnalysisJCB533Decision Support Models for OperationsJCB534Forecasting Supply Chain DemandJCB551Optimizing Inventory ManagementJCB552Optimizing Production Capacity AllocationJCB553Supply Chain Finance, Coordination, and SustainabilityJCB554Income Inequality and Intergenerational MobilityBRKS101Impact of Racial-Ethnic Segregation on Education and Neighborhood InequalityBRKS102Social and Economic Impact of the Early COVID-19 PandemicBRKS103Crime and IncarcerationBRKS104Nonlinear Regression ModelsCIS601Modeling Interactions Between PredictorsCIS602Foundations of Predictive ModelingCIS603Ensemble MethodsCIS604Creating and Sharing Interactive Data ModelsDYS546Clustering, Classification, and Machine Learning in RSHA577Predictive Analytics in RSHA576Practical Applications of StatisticsCORE527Statistical ForecastingCORE526Multivariable ComparisonsCORE525Inferential StatisticsCORE524Making Predictions Using Statistical ProbabilityCORE523Descriptive Statistics for BusinessCORE522Presenting Quantitative DataCORE521Using Statistical Tests to Make DecisionsILR512Using Prescriptive Analytics in ExcelDYS545Making Predictions and Forecasts with DataDYS544Visualizing and Communicating Insights in ExcelDYS543Harvesting Spreadsheet DataDYS542Getting Started with Spreadsheet Modeling and Business AnalyticsDYS541Optimization and Modeling Simultaneous DecisionsSHA575Modeling Uncertainty and RiskSHA574Using Predictive Data AnalysisSHA573Implementing Scientific Decision MakingSHA572Building Compelling Slide Decks and ReportsLSM701Applying Statistical TestsILR513Interpreting and Communicating DataILR511Building Predictive Machine Learning ModelsCAC107Analyzing and Visualizing Data with PythonCAC106Organizing Data with PythonCAC105Developing Data Science ApplicationsCAC103Writing Custom Python Functions, Classes, and WorkflowsCAC102Constructing Expressions in PythonCAC101Prescriptive Analytics in RSHA578Introduction to Scalability and AutomationJCB565Exploring DataJCB561Integrating Data From Multiple TablesJCB562Extracting Insights from DataJCB563Fundamentals of Database DesignJCB564Finding Patterns in Data Using Association Rules, PCA, and Factor AnalysisCEEM582Understanding Data AnalyticsCEEM581Finding Patterns in Data Using Cluster and Hotspot AnalysisCEEM583Regression Analysis and Discrete Choice ModelsCEEM584Supervised Learning TechniquesCEEM585Exploring Data Sets With RCIS445Neural Networks and Machine LearningCEEM586Working with Data Using SQLCAC112Querying Relational DatabasesCAC111Making Predictions Using SimulationCEEM588
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