Python with Plotly and Dash Training in Kraków, Poland

This course is designed to equip participants with the skills to create interactive and visually appealing data visualizations using Plotly, and to build custom analytical web applications using Dash, both powered by Python. Participants will learn how to transform data into actionable insights through real-time dashboards that can be shared across organizations.

Introduction to Plotly for Python

• Overview of Plotly vs other plotting libraries

• Scatter, Line, Bar, Pie, Area charts

• Customizing layout: titles, legends, tooltips

• Introduction to Plotly Express vs Graph Objects

Advanced Visualizations with Plotly

• Subplots and multiple axes

• Time series visualizations

• Heatmaps, Box plots, Violin plots

• Geo and map-based plots

• 3D surface plots and animations

Getting Started with Dash

• Introduction to Dash architecture (Layout, Callback, Components)

• Building your first Dash app

• Using Dash Core Components (Dropdowns, Sliders, Graphs)

• Callback functions and interactivity

Advanced Dash Layout and Interactivity

• Multi-page Dash apps

• Tabs, Cards, and Layout optimization

• Uploading and displaying external data

• Realtime data refresh with Intervals

• Styling with Dash Bootstrap Components

Deployment and Capstone Project

• Connecting Dash with REST APIs or SQL

• Exporting reports from dashboards

• Deployment options: Heroku, Streamlit, Dash Enterprise

• Best practices in data storytelling with Dash

Hands-on Exercises

Summary and Conclusion