Learning from Data: R programming
Learning from Data: R programming
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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