Write readable programs
Use variables, conditions, loops and functions to solve research tasks.
Programming for researchers
Python for research and data analysis
Learn the programming foundations needed to clean data, automate repetitive work and create reproducible analyses.
View curriculumimport pandas as pd
data = pd.read_csv("study.csv")
summary = data.groupby("group").mean()
print(summary)
data = pd.read_csv("study.csv")
summary = data.groupby("group").mean()
print(summary)
Learning outcomes
Build a reliable Python foundation.
Work with research data
Load, inspect, clean and summarise tabular datasets with pandas.
Support reproducibility
Organise scripts and outputs so analytical steps can be reviewed and repeated.
Curriculum
Four practical modules
Each module combines explanation, code demonstrations and exercises using research-style datasets.
- Install Python and use notebooks
- Variables, values and data types
- Conditions, loops and functions
- Lists, dictionaries and sets
- Read and write text and CSV files
- Handle missing and invalid values
- DataFrames and column selection
- Filtering, grouping and aggregation
- Merge data and document transformations
- Structure a small analysis project
- Create tables and visual summaries
- Export results and record limitations