Data Visualisation in Python
Course Materials
Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries
Configuring plot elements within seaborn and matplotlib
Exploring different types of plots using seaborn
Either \Learn to Program: Python\ or \Learn to Program: Python\ and \Python for Research\ needed to attend this course. If you already have experience with programming, please check the topics covered in the \Learn to Program: Python\ and \Python for Research\ courses to ensure that you are familiar with the knowledge needed for this course.
We also strongly recommend attending the \Data Manipulation in Python.
DOI: 10.5281/zenodo.6423716
Licence: All Rights Reserved
Contact: training@intersect.org.au
Keywords: Python
Additional information
Status: Active
Authors: Intersect Australia
Data Visualisation in Python
https://intersect.org.au/training/course/python202
https://staging.dresa.org.au/materials/data-visualisation-in-python
[Course Materials](https://intersectaustralia.github.io/training/PYTHON203/sources/Data-Adv_Python.zip)
Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries
Configuring plot elements within seaborn and matplotlib
Exploring different types of plots using seaborn
Either \Learn to Program: Python\ or \Learn to Program: Python\ and \Python for Research\ needed to attend this course. If you already have experience with programming, please check the topics covered in the \Learn to Program: Python\ and \Python for Research\ courses to ensure that you are familiar with the knowledge needed for this course.
We also strongly recommend attending the \Data Manipulation in Python\.
training@intersect.org.au
Intersect Australia
Python