Search Results
- Data Science and Decision MakingORIE581
- Optimizing Inventory ManagementJCB552
- Creating Data Arrays and Tables in PythonCAC104
- Forecasting Supply Chain DemandJCB551
- Big Data for Big Policy ProblemsBRKS105
- Decision Support Models for OperationsJCB534
- Inventory Management AnalysisJCB533
- Queuing AnalysisJCB532
- Process PerformanceJCB531
- Stakeholder PresentationsCIS450
- Classifying Data With Logistic RegressionCIS449
- Creating an Ethical Data Science Practice and WorkplaceCIS594
- Integrating Virtue Ethics into Data Science PracticeCIS593
- Ethics and the Data LifecycleCIS592
- Individual EthicsCIS591
- Data Cleaning With the TidyverseCIS448
- Measuring Relationships and UncertaintyCIS447
- Summarizing and Visualizing DataCIS446
- Implementing Scientific Decision MakingSHA572
- Continuous DistributionsJCB573
- Ensemble MethodsCIS604
- Foundations of Predictive ModelingCIS603
- Modeling Interactions Between PredictorsCIS602
- Nonlinear Regression ModelsCIS601
- Multiple RegressionJCB577
- Simple RegressionJCB576
- Hypothesis TestingJCB575
- SamplingJCB574
- Optimizing Production Capacity AllocationJCB553
- Decision AnalysisJCB572
- Data Analysis and ProbabilityJCB571
- Crime and IncarcerationBRKS104
- Social and Economic Impact of the Early COVID-19 PandemicBRKS103
- Impact of Racial-Ethnic Segregation on Education and Neighborhood InequalityBRKS102
- Income Inequality and Intergenerational MobilityBRKS101
- Supply Chain Finance, Coordination, and SustainabilityJCB554
- Building Compelling Slide Decks and ReportsLSM701
- Developing Data Science ApplicationsCAC103
- Writing Custom Python Functions, Classes, and WorkflowsCAC102
- Presenting Quantitative DataCORE521
- Descriptive Statistics for BusinessCORE522
- Making Predictions Using Statistical ProbabilityCORE523
- Inferential StatisticsCORE524
- Multivariable ComparisonsCORE525
- Constructing Expressions in PythonCAC101
- Organizing Data with PythonCAC105
- Telling a Data-Driven Story with TableauCAC115
- Enhancing Data Visualizations with TableauCAC114
- Creating Data Visualizations with TableauCAC113
- Prescriptive Analytics in RSHA578
- Clustering, Classification, and Machine Learning in RSHA577
- Predictive Analytics in RSHA576
- Practical Applications of StatisticsCORE527
- Statistical ForecastingCORE526
- Getting Started with Spreadsheet Modeling and Business AnalyticsDYS541
- Understanding and Visualizing DataSHA571
- Pre-College Analytics and Spreadsheet ModelingDYSHS111
- Using Predictive Data AnalysisSHA573
- Making Predictions With Data ModelsILR514
- Applying Statistical TestsILR513
- Using Statistical Tests to Make DecisionsILR512
- Modeling Uncertainty and RiskSHA574
- Optimization and Modeling Simultaneous DecisionsSHA575
- Harvesting Spreadsheet DataDYS542
- Visualizing and Communicating Insights in ExcelDYS543
- Making Predictions and Forecasts with DataDYS544
- Using Prescriptive Analytics in ExcelDYS545
- Creating and Sharing Interactive Data ModelsDYS546
- Interpreting and Communicating DataILR511
- Building Predictive Machine Learning ModelsCAC107
- Analyzing and Visualizing Data with PythonCAC106
- Introduction to Scalability and AutomationJCB565
- Fundamentals of Database DesignJCB564
- Extracting Insights from DataJCB563
- Integrating Data From Multiple TablesJCB562
- Exploring DataJCB561
- Querying Relational DatabasesCAC111
- Making Predictions Using SimulationCEEM588
- Making Data-Driven Recommendations Using OptimizationCEEM587
- Neural Networks and Machine LearningCEEM586
- Supervised Learning TechniquesCEEM585
- Regression Analysis and Discrete Choice ModelsCEEM584
- Finding Patterns in Data Using Cluster and Hotspot AnalysisCEEM583
- Finding Patterns in Data Using Association Rules, PCA, and Factor AnalysisCEEM582
- Understanding Data AnalyticsCEEM581
- Exploring Data Sets With RCIS445
- Working with Data Using SQLCAC112
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