High Distinction DATA2902 complete notes

Description

I completed the unit recently (2020, Sem 1), so the notes will be up to date and relevant to the current syllabus. Notes contain all topics from Week 1 – 12 with informative diagrams and summaries. Module 1: 1. Data visualisation 2. Sampling 3. Intro to Chi-square tests 4. Goodness of fit 𝝌-square 5. Measures of Performance 6. Measures of Risk 7. Homogeneity | 𝝌-square 8. Independence | 𝝌-square 9. Small samples Module 2: 1. Testing Means t-test 2. Further t-test theory 3. Power & Sample size 4. Sign test 5. Wilcoxon Signed-rank WSR 6. Wilcoxon Rank Sum WRS 7. Permutations testing 8. Bootstrapping Module 3: 1. Multiple Testing 2. ANOVA F-test 3. ANOVA Contrasts 4. ANOVA Simultaneous contrast 5. ANOVA Non-standard 6. 2-way ANOVA 7. 2-factor ANOVA Module 4: 1. Linear Regression 2. Multiple Regression 3. Prediction 4. Performance 5. Logistic Regression 6. Decision Trees 7. Random Forests 8. Nearest Neighbours 9. Dimension Reduction Diagrams are sourced from the public domain, and hand-drawn on iPad.