Python for Data Visualization and Analysis
Completed by Kavya Chandran
July 31, 2025
9 hours (approximately)
Kavya Chandran'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: Plotly
- Category: Data Storytelling
- Category: Data Presentation
- Category: Seaborn
- Category: Data Visualization
- Category: Plot (Graphics)
- Category: Exploratory Data Analysis
- Category: Matplotlib
