Applied Statistics with R
Applied Statistics with R
Syllabus
Schedule
Content
Examples
Exercises
Assignments
Resources
Overview
Worked examples
Exploratory Data Analysis
1. Import data
2. Inspect data
3. Clean data
4. Visualise Data
5. Manipulate Data
6. Reshape Data
7. EDA for Modelling
Statistical Inference
1. Sampling and confidence intervals (CI)
2. Differences in mean values, independent samples
3. Simulation-based tests
Data Modelling
1. Linear Model, lm()
2. Model Diagnostics
3. Binary classification, glm()
4. Side-by-side regression tables
Binary classification model
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