Learn how to create beautiful and informative statistical data visualizations using Seaborn, one of Python’s most powerful visualization libraries. This course covers everything from basic plots to advanced statistical charts, helping you transform raw data into meaningful insights. You will work with real-world datasets and integrate Seaborn with Pandas and Matplotlib for professional-quality visual analysis.
Course Outcomes
Understand the fundamentals of data visualization and Seaborn architecture
Install and set up Seaborn with Python, Pandas, and Matplotlib
Create line plots, bar charts, scatter plots, histograms, and box plots
Build heatmaps, pair plots, violin plots, and distribution plots
Customize plot styles, colors, labels, themes, and figure sizes
Visualize relationships, distributions, and categorical data effectively
Work with real datasets for exploratory data analysis (EDA)
Create professional dashboards and publication-ready charts
Combine Seaborn with Matplotlib for advanced customization
Apply data visualization techniques for data science and analytics projects
