The webinar offers a hands-on start to work with data in Python. Through simple examples, participants will learn how to use data with: Pandas have them read, processed and analysed efficiently and how to: Matplotlib for visualisation.
The webinar is aimed at technically interested individuals with initial programming experience who want to understand how Python can be used as a tool for data-driven decision-making in companies.
Contents
- Outline: Why Python for data analysis?
- Introduction to Jupyter Notebooks and the Python Environment
- Basics of Pandas working with data, practical examples
- Visualisation with matplotlib (charts, axis marking, simple layout adjustment)
Benefits/objectives
The learners
- learn how to perform simple data analysis using Python and Pandas.
- learn how to create visualisations with Matplotlib.
- get an overview of typical workflows and tools in Python data analytics.
audience
- It stakeholders and digitalisation officers who want to build practical data literacy.
- Prior knowledge of advantage, but not mandatory.
Speaker
- Marco Giangreco
- marco.giangreco@zema.de
