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Professional Seaborn Portfolio

Create stunning statistical visuals. Build your Data Visualization portfolio today!

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Professional Seaborn Portfolio

4 Modules

Course Curriculum

4 Modules · 15 Chapters · 15 Topics · 99 Sub-topics

Introduction to Seaborn

1 Topics

Getting Started with Seaborn

6 Sub-topics

What is Seaborn and Why Use It

Seaborn vs Matplotlib

Installing Seaborn

Importing Seaborn and Initial Setup

Understanding Seaborn's Philosophy

Overview of Seaborn Plot Types

Seaborn Plot Interface

1 Topics

Understanding Plot Functions

6 Sub-topics

Understanding Figure-Level vs Axes-Level Functions

Using relplot() - The Relational Plot Function

Using displot() - The Distribution Plot Function

Using catplot() - The Categorical Plot Function

When to Use Each Interface Type

Converting Between Interface Types

Working with DataFrames

1 Topics

Data Preparation for Seaborn

7 Sub-topics

Long-Form vs Wide-Form Data

Preparing Data for Seaborn

Using the data Parameter

Column-Based Plotting with x and y

Handling Missing Values

Using Index as Plot Variable

Melting and Reshaping Data for Seaborn

Distribution Plots

1 Topics

Visualizing Data Distributions

7 Sub-topics

Histograms with histplot()

Kernel Density Estimation with kdeplot()

Empirical Cumulative Distribution with ecdfplot()

Rug Plots for Data Density

Combining Multiple Distribution Plots

Bivariate Distribution Plots

Customizing Bins and Bandwidth

Categorical Plots Part 2

1 Topics

Advanced Categorical Visualizations

5 Sub-topics

Bar Plots with barplot()

Count Plots with countplot()

Point Plots with pointplot()

Adding Error Bars and Confidence Intervals

Comparing Multiple Categories

Relational Plots

1 Topics

Exploring Relationships in Data

7 Sub-topics

Scatter Plots with scatterplot()

Line Plots with lineplot()

Using Hue for Color Encoding

Using Size for Point Scaling

Using Style for Marker Variation

Adding Multiple Semantic Mappings

Customizing Markers and Lines

Matrix Plots

1 Topics

Heatmaps and Matrix Visualizations

7 Sub-topics

Heatmaps with heatmap()

Correlation Matrices Visualization

Annotating Heatmaps

Cluster Maps with clustermap()

Customizing Color Maps

Adding Dendrograms

Pivot Tables with Heatmaps

Multi-Plot Grids Part 2

1 Topics

Advanced Grid Visualizations

7 Sub-topics

PairGrid for Pairwise Relationships

Creating Pair Plots with pairplot()

Customizing Diagonal and Off-Diagonal Plots

JointGrid for Bivariate Analysis

Creating Joint Plots with jointplot()

Adding Marginal Distributions

Combining Different Plot Types in Grids

Advanced Customization Part 1

1 Topics

Complex Customization Techniques

6 Sub-topics

Combining Seaborn with Matplotlib

Creating Complex Multi-Plot Layouts

Custom Color Functions

Programmatic Plot Generation

Dynamic Plot Styling

Plot Element Positioning

Statistical Estimation in Plots

1 Topics

Statistical Analysis in Visualization

7 Sub-topics

Understanding Estimators in Seaborn

Confidence Intervals and Error Bars

Using Different Statistical Functions

Bootstrapping in Seaborn

Controlling CI with ci Parameter

Seed and n_boot for Reproducibility

Aggregation Functions (mean, median, etc.)

Real-World Applications Part 1

1 Topics

Domain-Specific Visualizations

6 Sub-topics

Business Analytics Dashboards

Scientific Data Visualization

Market Research Analysis

Healthcare Data Plots

Educational Data Visualization

Social Science Applications

Real-World Applications Part 2

1 Topics

Industry Applications

7 Sub-topics

Financial Data Visualization

Web Analytics Plots

A/B Testing Results

Survey Data Analysis

Geospatial Data (with Limitations)

Quality Control Charts

Report Automation

Best Practices and Optimization

1 Topics

Professional Visualization Development

7 Sub-topics

Code Organization for Visualization

Reusable Plotting Functions

Plot Validation and Testing

Performance Optimization Tips

Memory Management

Documentation and Commenting

Version Control for Visualizations

Saving and Exporting

1 Topics

Plot Export and File Management

7 Sub-topics

Saving Plots with savefig()

File Formats (PNG, SVG, PDF, EPS)

Resolution and DPI Settings

Transparent Backgrounds

Bbox Settings for Cropping

Exporting for Publications

Batch Saving Multiple Plots

Project Portfolio Development

1 Topics

Building Professional Portfolio

7 Sub-topics

Building a Visualization Portfolio

Documenting Visualization Projects

GitHub Portfolio Setup

Creating Visualization Case Studies

Presenting Data Stories

Portfolio Best Practices

Continuous Learning and Updates

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Professional Seaborn Portfolio

Certificate of Completion

Course Curriculum

Student Reviews

Frequently Asked Questions

Start Your Journey Today

Professional Seaborn Portfolio

Certificate of Completion

Course Curriculum

Student Reviews

Frequently Asked Questions

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