You can a copy of the module timetable. The schedule has been colour coded to help you understand which parts of the course connect with the different parts of the coursework assessment.
Part A) Open health data and anonymisation
Part B) Algorithms and health data
Part C) Analyse and visualize results from a health data survey
Part D) Going further with programming
Week 1 | ||
2022-09-19 | Overview of the module | |
2022-09-19 | Introduction to RMarkdown | |
Week 2 | ||
2022-09-26 | Healthcare Data: Open Data & Reproducibility | |
2022-09-26 | Setting up reproducible data science with R | |
Week 3 | ||
2022-10-03 | Data science with the tidyverse | |
2022-10-03 | Exploratory Data Analysis with the tidyverse | |
Week 4 | ||
2022-10-10 | Data visualisation | |
2022-10-10 | Using factors to control data visualisations and Communicating with tables in R | |
Week 5 | ||
2022-10-17 | Healthcare Data: Surveys | |
2022-10-17 | Tidy Data: Wide vs Long Data | |
Week 6 | ||
2022-10-24 | Data anonymisation | |
2022-10-24 | Data anonymisation and Tidy Data: Surveys and separate() | |
Week 7 | ||
2022-10-31 | Ethics in Algorithms | |
2022-10-31 | Case studies of ethics in algorithms | |
Week 8 | ||
2022-11-07 | Machine learning vs everything else | |
2022-11-07 | Doing more with data visualisations | |
Week 9 | ||
2022-11-14 | Regressions and correlations | |
2022-11-14 | Tidyverse and regressions | |
Week 10 | ||
2022-11-21 | Hypothesis Testing (and alternatives) | |
2022-11-21 | Tidyverse and modelling | |
Week 11 | ||
2022-11-28 | Why are we using code again? | |
2022-11-28 | Programmatic solutions to doing many things | |
Week 12 | ||
2022-12-05 | Assignment Q & A |