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Data Visualisation with Python Seaborn
Seaborn is a Python library for creating attractive, informative, and highly customised data visualisations. Seaborn integrates with the widely used Python data libraries NumPy and Pandas, offering a data visualisation tool that can fit harmoniously within your Python data pipeline. Seaborn is built on top of a lower-level data visualisation library in Python called Matplotlib. Because of its high-level nature, Seaborn is the most user-friendly data visualisation library for Python, allowing us to create an attractive chart with as few as 3 lines of code. Seaborn’s simplicity does not restrict its controllability – we can customize any aspect of a Seaborn visual, creating intentional and aesthetic visualisations.
This webinar will address the following questions:
What is Seaborn?
What can I do with Seaborn?
Using Seaborn, how can I visualise…
Categorical data?
Data distributions?
Statistical relationships?
How should I approach data visualisation from a design perspective?
How can I control aesthetics in Seaborn?
How does Seaborn differ from Matplotlib, and how can I get the best out of both?
Who is this webinar for?
This is an advanced session, suitable for anyone interested in exploring data visualisation with Python. The webinar is most suited for those with at least beginner-level experience programming in Python. Previous experience using the NumPy, Pandas and Matplotlib libraries would also be beneficial.
Tamsin Huggins is a technical instructor specialising in data science. She has multiple master’s degrees in computer science and artificial intelligence (AI), as well as experience in AI research. Tamsin teaches data science and computer programming up to master’s level, both in industry and in academia.
