Search Results
- Data Science for Machine LearningCIS600
- Operations AnalyticsJCB530
- Big Data for PolicyBRKS100
- Applied StatisticsJCB570
- Data Science and Decision MakingORIE580
- Analyzing and Visualizing Data with PythonCAC106
- Implementing Scientific Decision MakingSHA572
- Building Predictive Machine Learning ModelsCAC107
- Interpreting and Communicating DataILR511
- Using Statistical Tests to Make DecisionsILR512
- Applying Statistical TestsILR513
- Making Predictions With Data ModelsILR514
- Creating Data Arrays and Tables in PythonCAC104
- Summarizing and Visualizing DataCIS446
- Measuring Relationships and UncertaintyCIS447
- Data Cleaning With the TidyverseCIS448
- Individual EthicsCIS591
- Ethics and the Data LifecycleCIS592
- Integrating Virtue Ethics into Data Science PracticeCIS593
- Creating an Ethical Data Science Practice and WorkplaceCIS594
- Classifying Data With Logistic RegressionCIS449
- Stakeholder PresentationsCIS450
- Forecasting Supply Chain DemandJCB551
- Optimizing Inventory ManagementJCB552
- Optimizing Production Capacity AllocationJCB553
- Supply Chain Finance, Coordination, and SustainabilityJCB554
- Multivariable ComparisonsCORE525
- Understanding and Visualizing DataSHA571
- Using Predictive Data AnalysisSHA573
- Modeling Uncertainty and RiskSHA574
- Optimization and Modeling Simultaneous DecisionsSHA575
- Getting Started with Spreadsheet Modeling and Business AnalyticsDYS541
- 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
- Presenting Quantitative DataCORE521
- Descriptive Statistics for BusinessCORE522
- Making Predictions Using Statistical ProbabilityCORE523
- Inferential StatisticsCORE524
- Organizing Data with PythonCAC105
- Developing Data Science ApplicationsCAC103
- Writing Custom Python Functions, Classes, and WorkflowsCAC102
- Constructing Expressions in PythonCAC101
- Building Compelling Slide Decks and ReportsLSM701
- Prescriptive Analytics in RSHA578
- Clustering, Classification, and Machine Learning in RSHA577
- Statistical ForecastingCORE526
- Practical Applications of StatisticsCORE527
- Predictive Analytics in RSHA576
- Extracting Insights from DataJCB563
- Introduction to Scalability and AutomationJCB565
- Fundamentals of Database DesignJCB564
- Integrating Data From Multiple TablesJCB562
- Exploring DataJCB561
- Regression Analysis and Discrete Choice ModelsCEEM584
- Exploring Data Sets With RCIS445
- Understanding Data AnalyticsCEEM581
- Working with Data Using SQLCAC112
- Querying Relational DatabasesCAC111
- Finding Patterns in Data Using Association Rules, PCA, and Factor AnalysisCEEM582
- Finding Patterns in Data Using Cluster and Hotspot AnalysisCEEM583
- Making Predictions Using SimulationCEEM588
- Neural Networks and Machine LearningCEEM586
- Supervised Learning TechniquesCEEM585
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