- Classifying Data With Logistic RegressionCIS449Optimizing Inventory ManagementJCB552Forecasting Supply Chain DemandJCB551Big Data for Big Policy ProblemsBRKS105Decision Support Models for OperationsJCB534Inventory Management AnalysisJCB533Queuing AnalysisJCB532Process PerformanceJCB531Stakeholder PresentationsCIS450Optimizing Production Capacity AllocationJCB553Creating an Ethical Data Science Practice and WorkplaceCIS594Integrating Virtue Ethics into Data Science PracticeCIS593Ethics and the Data LifecycleCIS592Individual EthicsCIS591Data Cleaning With the TidyverseCIS448Measuring Relationships and UncertaintyCIS447Summarizing and Visualizing DataCIS446Creating Data Arrays and Tables in PythonCAC104Continuous DistributionsJCB573Ensemble MethodsCIS604Foundations of Predictive ModelingCIS603Modeling Interactions Between PredictorsCIS602Nonlinear Regression ModelsCIS601Multiple RegressionJCB577Simple RegressionJCB576Hypothesis TestingJCB575SamplingJCB574Implementing Scientific Decision MakingSHA572Decision AnalysisJCB572Data Analysis and ProbabilityJCB571Crime and IncarcerationBRKS104Social and Economic Impact of the Early COVID-19 PandemicBRKS103Impact of Racial-Ethnic Segregation on Education and Neighborhood InequalityBRKS102Income Inequality and Intergenerational MobilityBRKS101Supply Chain Finance, Coordination, and SustainabilityJCB554Building Compelling Slide Decks and ReportsLSM701Developing Data Science ApplicationsCAC103Writing Custom Python Functions, Classes, and WorkflowsCAC102Constructing Expressions in PythonCAC101Descriptive Statistics for BusinessCORE522Making Predictions Using Statistical ProbabilityCORE523Inferential StatisticsCORE524Pre-College Analytics and Spreadsheet ModelingDYSHS111Multivariable ComparisonsCORE525Organizing Data with PythonCAC105Telling a Data-Driven Story with TableauCAC115Enhancing Data Visualizations with TableauCAC114Creating Data Visualizations with TableauCAC113Prescriptive Analytics in RSHA578Clustering, Classification, and Machine Learning in RSHA577Predictive Analytics in RSHA576Practical Applications of StatisticsCORE527Statistical ForecastingCORE526Getting Started with Spreadsheet Modeling and Business AnalyticsDYS541Understanding and Visualizing DataSHA571Using Predictive Data AnalysisSHA573Making Predictions With Data ModelsILR514Modeling Uncertainty and RiskSHA574Applying Statistical TestsILR513Using Statistical Tests to Make DecisionsILR512Interpreting and Communicating DataILR511Optimization and Modeling Simultaneous DecisionsSHA575Harvesting Spreadsheet DataDYS542Visualizing and Communicating Insights in ExcelDYS543Making Predictions and Forecasts with DataDYS544Using Prescriptive Analytics in ExcelDYS545Creating and Sharing Interactive Data ModelsDYS546Presenting Quantitative DataCORE521Building Predictive Machine Learning ModelsCAC107Analyzing and Visualizing Data with PythonCAC106Fundamentals of Database DesignJCB564Introduction to Scalability and AutomationJCB565Extracting Insights from DataJCB563Integrating Data From Multiple TablesJCB562Exploring DataJCB561Making Predictions Using SimulationCEEM588Making Data-Driven Recommendations Using OptimizationCEEM587Neural Networks and Machine LearningCEEM586Supervised Learning TechniquesCEEM585Regression Analysis and Discrete Choice ModelsCEEM584Finding Patterns in Data Using Cluster and Hotspot AnalysisCEEM583Finding Patterns in Data Using Association Rules, PCA, and Factor AnalysisCEEM582Understanding Data AnalyticsCEEM581Exploring Data Sets With RCIS445Working with Data Using SQLCAC112Querying Relational DatabasesCAC111
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