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- Data Science for Machine LearningCIS600Operations AnalyticsJCB530Applied StatisticsJCB570Data Science and Decision MakingORIE580Interpreting and Communicating DataILR511Creating Data Arrays and Tables in PythonCAC104Using Statistical Tests to Make DecisionsILR512Applying Statistical TestsILR513Making Predictions With Data ModelsILR514Understanding and Visualizing DataSHA571Summarizing and Visualizing DataCIS446Measuring Relationships and UncertaintyCIS447Data 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 PresentationsCIS450Forecasting 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 IncarcerationBRKS104Using Prescriptive Analytics in ExcelDYS545Predictive Analytics in RSHA576Practical Applications of StatisticsCORE527Building Predictive Machine Learning ModelsCAC107Multivariable ComparisonsCORE525Inferential StatisticsCORE524Making Predictions Using Statistical ProbabilityCORE523Descriptive Statistics for BusinessCORE522Presenting Quantitative DataCORE521Creating and Sharing Interactive Data ModelsDYS546Statistical ForecastingCORE526Making 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 MakingSHA572Analyzing and Visualizing Data with PythonCAC106Organizing Data with PythonCAC105Developing Data Science ApplicationsCAC103Writing Custom Python Functions, Classes, and WorkflowsCAC102Clustering, Classification, and Machine Learning in RSHA577Prescriptive Analytics in RSHA578Building Compelling Slide Decks and ReportsLSM701Constructing Expressions in PythonCAC101Exploring DataJCB561Integrating Data From Multiple TablesJCB562Extracting Insights from DataJCB563Fundamentals of Database DesignJCB564Introduction to Scalability and AutomationJCB565Understanding Data AnalyticsCEEM581Querying Relational DatabasesCAC111Working with Data Using SQLCAC112Exploring Data Sets With RCIS445Making Predictions Using SimulationCEEM588Finding Patterns in Data Using Association Rules, PCA, and Factor AnalysisCEEM582Finding Patterns in Data Using Cluster and Hotspot AnalysisCEEM583Regression Analysis and Discrete Choice ModelsCEEM584Supervised Learning TechniquesCEEM585Neural Networks and Machine LearningCEEM586
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