Overview
This course introduces the core concepts of data analysis, visualisation, and interpretation using tools commonly applied in scientific research.
Aims and Objectives
To equip learners with data handling and analytical skills relevant to scientific applications
Course Content
Introduction to data science concepts
Data collection and cleaning
Statistical analysis and interpretation
Data visualisation using Excel or Python
Reproducibility and data integrity
Case studies in laboratory data analysis
Learning Outcomes
On completion of this course, learners will be able to:
- Analyse and visualise scientific data
- Apply basic statistical methods to experiments
- Maintain data quality and integrity
- Communicate results effectively using visuals
