Data Visualisation in Python
Use Python libraries to create a variety of visualisations, ranging from simple bar charts to intricate heatmaps
Does your visualisation tell a story? Data is continuously expanding and becoming more complex. On its own, data can feel daunting. However, through visualisation, we can transform raw numbers and text into captivating narratives. During this workshop, which is tailored for beginners, Annajiat Alim Rasel and Md Intekhabul Hafiz will assist you with the skills to use Python libraries to create a variety of visualisations, ranging from simple bar charts to intricate heatmaps.
Why Visualise Our Data?
- Simplify the Complex: Break down large and complicated datasets into visuals that are easy to grasp.
- Uncover Hidden Patterns: Identify trends, outliers, and correlations that might be missed in raw data.
- Enhance Understanding: Share insights in a more effective and intuitive manner.
- Make Data Accessible: Create visualisations that are inclusive, considering factors like color blindness.
What You'll Learn:
- Fundamental Visualisation Techniques: Understand the basics of creating various types of charts, including bar charts, line charts, scatter plots, and more.
- Customising Your Visualisations: Discover how to tailor your visualisations to fit your specific needs, including colors, labels, and formatting.
- Effective Storytelling with Data: Learn how to use visualisation to communicate data-driven insights in a clear and engaging way.
By the end of this workshop, you'll be ready to use data visualization to tell stories with your data.
Pre-workshop requirements
A Google account for using Google Colab.
Good to know
Highlights
- 3 hours
- Online