- Pre-College Analytics and Spreadsheet ModelingDYSHS111Building Compelling Slide Decks and ReportsLSM701Constructing Expressions in PythonCAC101Writing Custom Python Functions, Classes, and WorkflowsCAC102Developing Data Science ApplicationsCAC103Understanding and Visualizing DataSHA571Analyzing and Visualizing Data with PythonCAC106Building Predictive Machine Learning ModelsCAC107Interpreting and Communicating DataILR511Using Statistical Tests to Make DecisionsILR512Applying Statistical TestsILR513Making Predictions With Data ModelsILR514Organizing Data with PythonCAC105Creating Data Arrays and Tables in PythonCAC104Summarizing and Visualizing DataCIS446Measuring Relationships and UncertaintyCIS447Data Cleaning With the TidyverseCIS448Individual EthicsCIS591Ethics and the Data LifecycleCIS592Integrating Virtue Ethics and Data Science PracticeCIS593Creating an Ethical Data Science Practice and WorkplaceCIS594Classifying Data With Logistic RegressionCIS449Stakeholder PresentationsCIS450Using Prescriptive Analytics in ExcelDYS545Implementing Scientific Decision MakingSHA572Using Predictive Data AnalysisSHA573Modeling Uncertainty and RiskSHA574Optimization and Modeling Simultaneous DecisionsSHA575Getting Started with Spreadsheet Modeling and Business AnalyticsDYS541Harvesting Spreadsheet DataDYS542Visualizing and Communicating Insights in ExcelDYS543Making Predictions and Forecasts with DataDYS544Telling a Data-Driven Story with TableauCAC115Creating and Sharing Interactive Data ModelsDYS546Presenting Quantitative DataCORE521Enhancing Data Visualizations with TableauCAC114Creating Data Visualizations with TableauCAC113Making Predictions Using Statistical ProbabilityCORE523Prescriptive Analytics in RSHA578Inferential StatisticsCORE524Multivariable ComparisonsCORE525Statistical ForecastingCORE526Clustering, Classification, and Machine Learning in RSHA577Predictive Analytics in RSHA576Practical Applications of StatisticsCORE527Descriptive Statistics for BusinessCORE522Regression Analysis and Discrete Choice ModelsCEEM584Making Predictions Using SimulationCEEM588Making Data-Driven Recommendations Using OptimizationCEEM587Neural Networks and Machine LearningCEEM586Supervised Learning TechniquesCEEM585Finding 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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