Interactive SDA Curriculum - Health & Data Analytics Learning Modules

 SDA: Statistical Data Analyzer

The UMSN AI in Health Initiative expanded the powerful Statistical Data Analyzer (SDA) to include active learning modules and technology-enhanced health-data analytics instruction. The modules in the SDA Health Analytics Curriculum utilize advanced AI support via modern Cloud technologies. 

UM SOCR Statistical Data Analyzer Curriculum

 The Core SDA Health/Data Science Curriculum includes

Category 1: Fundamentals of Health Data 

1.1 Data Types & Measurement Scales

  • WebApp: Data Classifier (uses DataExplorer type detection)

  •  Explore tab

1.2 Exploratory Data Analysis (EDA)

  • WebApp: Dynamic Histogram & Boxplot (uses VisualizationStudio)

  •  Visualize tab (histogram, boxplot, violin charts)

1.3 Descriptive Statistics

  • WebApp: Mean vs. Median Sensitivity Lab

  •  Analyze > Descriptive Statistics

Category 2: Probability & Distributions  

             2.1 Probability Theory (Bayes, Sensitivity/Specificity)

  • WebApp: ROC Curve Visualizer (NEW, but we have ML tools)

  •  Analyze > Distribution Analysis

2.2 Discrete Distributions (Binomial, Poisson)

  • WebApp: Poisson Probability Calculator

  •  Analyze > Distribution Fitting

2.3 Normal Distribution & CLT

  • WebApp: CLT Sampling Simulator)

  •  Analyze > Distribution Analysis, normality tests

Category 3: Statistical Inference 

             3.1 Point Estimation & Confidence Intervals

  • WebApp: CI Coverage Visualizer

  •  Analyze > Hypothesis Testing (CI outputs)

3.2 Logic of Hypothesis Testing

  • WebApp: Power & Sample Size Calculator

  •  Analyze > Hypothesis Testing

3.3 One-Sample & Two-Sample Tests

  • WebApp: t-Distribution Overlay (can use existing viz)

  •  Analyze > Hypothesis Testing (t-tests)

Category 4: Categorical Data & Non-Parametric 

             4.1 Contingency Tables (Chi-Square, Fisher's)

  • WebApp: 2x2 Table OR/RR Calculator

  •  Analyze > Hypothesis Testing (chi-square)

4.2 Non-Parametric Tests

  • WebApp: Parametric vs Non-Parametric Comparison

  •  Analyze > Hypothesis Testing (Wilcoxon, Mann-Whitney)

Category 5: ANOVA & Correlation 

             5.1 Analysis of Variance

  • WebApp: ANOVA Decomposition Table (enhance existing)

  •  Analyze > ANOVA

5.2 Correlation Analysis

  • WebApp: Scatterplot & Correlation Lab (uses VisualizationStudio)

  •  Analyze > Correlation Analysis

Category 6: Regression 

          6.1 Simple & Multiple Linear Regression

  • WebApp: Residual Analysis Playground

  •  Analyze > Multivariate Regression

6.2 Logistic Regression

  • Logistic regression

6.3 Model Diagnostics

  • WebApp: VIF Diagnostic Tool (enhance multivariate results)

  •  Analyze > Multivariate Regression

Category 7: Specialized Topics 

             7.1 Survival Analysis

  • WebApp: Kaplan-Meier Estimator

  • Survival analysis

7.2 Epidemiology Metrics

  • WebApp: Epidemiological Rate Calculator 

     

Additional modules are continuously added to expand the SDA curriculum.  

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