1 9 sections

Getting Started in R — Part I: Objects, Vectors, and Data Types

Open module
2 7 sections

Getting Started in R — Part II: Reading Data and Reproducible Reports

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3 8 sections

Getting Started in R — Part III: Understanding Missing Data (NA)

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4 7 sections

Getting Started in R — Part IV: Missing-Data Decisions

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5 9 sections

Data Wrangling — Part I: The Native Pipe and Choosing Rows and Columns

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6 11 sections

Data Wrangling — Part II: Sorting, Counting, and Deriving Variables

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7 6 sections

Data Wrangling — Part III: Grouped Summaries and Joins

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8 8 sections

Data Wrangling — Part IV: Pivots, Factors, and Cleaning Headers

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9 8 sections

Descriptive Statistics — Part I: Summarising Numeric Variables

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10 8 sections

Descriptive Statistics — Part II: Categorical Summaries and Missing Values

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11 11 sections

Descriptive Statistics — Part III: Building ggplot2 Charts

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12 7 sections

Descriptive Statistics — Part IV: Reading Charts Critically and a Table 1

Open module
13 9 sections

Probability and Distributions — Part I: Probability Rules and Independence

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14 12 sections

Probability and Distributions — Part II: The Normal Curve, z-scores, and d/p/q/r

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15 7 sections

Diagnostic Tests and Bayes — Part I: The 2x2 Table, Sensitivity, and Specificity

Open module
16 9 sections

Diagnostic Tests and Bayes — Part II: PPV, NPV, and Why Prevalence Matters

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17 10 sections

Inferential Statistics — Part I: Sampling, Standard Error, and the CLT

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18 10 sections

Inferential Statistics — Part II: Confidence Intervals

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19 6 sections

Hypothesis Testing — Part I: The Logic of a Test and p-values

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20 12 sections

Hypothesis Testing — Part II: Errors, Power, and Choosing a Test

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21 9 sections

Effect Measures and ROC — Part I: Multiple Testing and Effect Measures

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22 8 sections

Effect Measures and ROC — Part II: ROC, AUC, and Tests for Table 1

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23 8 sections

Statistical Modeling — Part I: Correlation and Fitting a Line

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24 9 sections

Statistical Modeling — Part II: Prediction, Diagnostics, and Confounding

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25 9 sections

Statistical Modeling — Part III: Logistic Regression

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26 9 sections

Statistical Modeling — Part IV: Predicted Probabilities and a Taste of Survival

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