Python for Data Visualization and Analysis
Completed by Agustín Eduardo Arancibia Zúñiga
February 11, 2025
9 hours (approximately)
Agustín Eduardo Arancibia Zúñiga's account is verified. Coursera certifies their successful completion of Python for Data Visualization and Analysis
What you will learn
Create impactful visualizations using Matplotlib and Seaborn to represent complex datasets effectively.
Build dynamic, interactive charts and dashboards with Plotly and IPyWidgets for enhanced data exploration.
Build dynamic, interactive charts and dashboards with Plotly and IPyWidgets for enhanced data exploration.
Deploy interactive data visualization applications seamlessly with Streamlit to share analysis results.
Skills you will gain
- Category: Dashboard Creation
- Category: Seaborn
- Category: Matplotlib
- Category: Exploratory Data Analysis
- Category: Data Storytelling
- Category: Data Visualization
- Category: Plot (Graphics)
- Category: Data Presentation
- Category: Plotly
