Online, 27th September - 1st October 2021
Overview
In this course, we will be manipulating and visualizing data in Python using the data analysis library Pandas, along with the visualization libraries Matplotlib and Seaborn.We will be working with Jupyter notebooks, which make it easy to run code and generate visualizations in an interactive format.To set all of this up, you can download the Anaconda data science platform, which offers these libraries and other popular scientific Python tools pre-installed.
Intended Audience
This course is meant to be an introduction to data manipulation and visualization in Python. A basic knowledge of Python will be useful, but you do not otherwise need previous programming experience
Assumed Background
This workshop is aimed at researchers and technical workers with a background in biology and a basic knowledge of Python (if you've taken the Introductory Python course then you have the Python knowledge; if you're not sure whether you know enough Python to benefit from this course then just drop us an email).
Course Layout
This workshop is aimed at researchers and technical workers with a background in biology and a basic knowledge of Python (if you've taken the Introductory Python course then you have the Python knowledge; if you're not sure whether you know enough Python to benefit from this course then just drop us an email)
