Explore and Visualize Your Data with Python

In this e-learning course, you will reproduce a typical data analysis pipeline using Python.

Licence: Creative Commons Attribution 4.0 International

Keywords: Python, Data analysis, Data visualisation

Target audience: Life scientists, bioinformaticians and researchers who are familiar with writing Python code and core Python elements, and would like to use it in their daily data exploration and visualization tasks.

Resource type: e-learning

Status: Active


Basic knowledge of Python programming.

Learning objectives:

  • Reproduce known or best-practise recipes to read data using pandas DataFrame
  • Summarize the main aspects of a studied dataset
  • Employ pandas to filter and select specific part of their data-set
  • Use matplotlib graphical library to generate clear visual representations of their data
  • Choose and explore matplotlib options in order to create publication-ready graphics

Authors: Wandrille Duchemin

Scientific topics: Data visualisation, Bioinformatics

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