Name		Name	Last commit message	Last commit date
parent directory ..
Final Assignment		Final Assignment
01. Preparing the Canada Immigration Dataset.ipynb		01. Preparing the Canada Immigration Dataset.ipynb
02. Exploring the Canada Immigration Dataset.ipynb		02. Exploring the Canada Immigration Dataset.ipynb
03. Matplotlib - Introduction and Line Plots.ipynb		03. Matplotlib - Introduction and Line Plots.ipynb
04. Matplotlib - Area Plots, Histograms, and Bar Plots.ipynb.ipynb		04. Matplotlib - Area Plots, Histograms, and Bar Plots.ipynb.ipynb
05. Matplotlib - Pie Charts, Box Plots, Scatter Plots, and Bubble Plots.ipynb		05. Matplotlib - Pie Charts, Box Plots, Scatter Plots, and Bubble Plots.ipynb
06. Advanced Visualizations - Waffle Charts, Word Clouds, and Regression Plots.ipynb		06. Advanced Visualizations - Waffle Charts, Word Clouds, and Regression Plots.ipynb
07. Folium - Creating Maps and Visualizing Geospatial Data.ipynb		07. Folium - Creating Maps and Visualizing Geospatial Data.ipynb
08. Plotly Basics.ipynb		08. Plotly Basics.ipynb
09. Dash Basics.ipynb		09. Dash Basics.ipynb
10. Dash Interactivity.ipynb		10. Dash Interactivity.ipynb
README.md		README.md
canada_immigration_data.csv		canada_immigration_data.csv
plotly_js_cheat_sheet.pdf		plotly_js_cheat_sheet.pdf
world_countries.json		world_countries.json

README.md

Data Visualization with Python

📄 Summary

This course teaches how to present and visualize complex data in a manner that makes sense to people, and allows for insights to be easily seen and derived. This course makes use of several Python data visualization libraries such as Matplotlib, Seaborn, Plotly, and Folium, to explore Canadian immigration data. It also covers dashboard creation using Plotly Dash, with a final assignment combining the skills learned to analyse and report US domestic airline flights performance in a dashboard.

📑 Main Topics

Introduction to Data Visualization Tools
Basic and Specialized Visualization Tools
Advanced Visualizations and Geospatial Data
Dashboard creation using Plotly Dash.

🔑 Key Skills Learned

Using Matplotlib to create various plots, including line plots, area plots, histograms, bar charts, and more.
Applying advanced visualization tools to create waffle charts and word clouds.
Using Seaborn with Matplotlib to generate attractive regression plots.
Creating maps and visualizing geospatial data, using Folium.
Using Plotly, Plotly.graph_objects, and Plotly express commands.
Using Dash and basic Dash components (core and HTML).

🏆 Certificates

To verify the certificates, click the images to follow the links.

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08. Data Visualization with Python

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