The aim of this training is to introduce effective and reproducible data analysis techniques in two open source programming languages, R and Python.
This resource is presented by Dr Geraint Palmer who is a Welsh medium lecturer in the School of Mathematics at Cardiff University. His research in the field of Operational Research mainly involved modelling public services as queueing systems analytically and using computer simulation. This work applies topics such as probability, graph theory, data analysis, and software development.
Content:
- A series of 10 videos (5 in R and 5 in Python), on the following topics:
- Downloading, installing, and starting the software
- Reading in data and producing summary statistics
- Plotting
- Combining and re-shaping data
- Hypothesis testing
- An example data set
- A practical task to coincide with each video
On completion trainees should be able to:
- By working through this video series and the tasks, you will be able to start to analyse data with either R or Python. Specifically, you will know how to read in data to the software, produce summary statistics, plot, combine and reshape data, and carry out hypothesis testing.
