Learn to use the seaborn library for statistical analysis and data visualization, covering pair plots, scatter plots, line plots, heatmaps, bar plots, box plots and violin plots.

Become a Data Analyst

In this module, you’ll explore the seaborn library for statistical analysis and data visualization. You'll learn to create various plots for numerical and categorical data, style figures for improved aesthetics, and use multiplot grids to visualize complex relationships. By the end, you'll be proficient in using seaborn to create insightful and visually appealing visualizations.

Data Visualization with Seaborn

Here’s a quick summary of what we learned from the “Data Visualization with Seaborn” module.


Final Remarks

Here’s a quick summary of what we learned from the “Data Visualization with Seaborn” module.

Introduction to Seaborn and Statistical Analysis

Plotting Numerical Data

Assessment on Plotting Numerical Data

Plotting the Categorical Data

Assessment on Categorical Plots

Styling and Figure Aesthetics

Assessment on Styling and Figure Aesthetics

Multiplot Grids

Assessment on Multi-Plot Grids

Conclusion

Final Remarks

Summary