This course focuses on the creation of dynamic and engaging visualizations using Plotly, a powerful library for interactive data visualization in Python. Participants will delve into the core functionalities of Plotly, learning to transform complex datasets into insightful graphical representations. The project-based approach ensures that learners not only grasp theoretical concepts but also apply them in real-world scenarios, culminating in a final project that showcases their skills. By the end of the course, participants will be equipped to produce professional-grade visualizations suitable for diverse applications, including business presentations and research reports.
Throughout the program, learners will engage in hands-on activities that promote collaboration and creativity. The interactive format encourages participants to explore their data, experiment with various visualization techniques, and share their findings. Additionally, participants are encouraged to publish their results in Cademix Magazine, providing an opportunity for visibility within the professional community. This course is ideal for those looking to enhance their data storytelling capabilities and make informed decisions based on visual data analysis.
Introduction to Data Visualization Principles
Overview of Plotly and its Capabilities
Setting Up the Plotly Environment
Creating Basic Charts: Line, Bar, and Scatter Plots
Customizing Visualizations: Layouts, Colors, and Annotations
Interactive Features: Hover Effects, Tooltips, and Legends
Advanced Visualizations: Heatmaps, 3D Plots, and Dashboards
Integrating Plotly with Pandas for Data Manipulation
Best Practices for Effective Data Storytelling
Final Project: Develop an Interactive Visualization Project