Online Resource

Data Handling

A hands-on introduction to data handling in Python, building directly on the Python Fundamentals module. Learners work with NumPy arrays and pandas DataFrames to import, clean, manipulate, analyse and visualise numerical, tabular and image data. Topics include univariate and multivariate analysis, basic statistics, plotting with Matplotlib, and good practice in data workflows. Successful completion is a compulsory prerequisite for the Machine Learning module.

Keywords: Dataset, FAIR, Metadata, biological research, data import, data processing, data summarisation, data visualisation, python, reproducibility, statistics

Target audience: Postgraduate researcher, Postgraduate student, Researcher, Clinician, Research Software Engineer, Bioinformatician, Research skills educator

Resource type: Online Resource

Version: 2025.1

Authors: scryptIQ


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