Seaborn Visualization Specialist Certification Programme

Seaborn Visualization Specialist Certification Programme (SVS)

(60 Hours Program)

Duration: 60 Hours
Format: Hands-on + Project Based

Outcome: Data Visualization Specialist
Focus: Seaborn, Statistical Visualization & EDA

Includes: Hands-on Labs + Real-world Projects + Capstone Assessment

Module-wise Curriculum (60 Hours)

Module 1: Introduction to Data Visualization (5 Hours)

Importance of Data Visualization
Python Visualization Ecosystem
Introduction to Seaborn
Installing Seaborn & Dependencies
Jupyter Notebook Setup
Seaborn Themes & Styles
Loading Built-in Datasets
Hands-on Exercises

Build a strong foundation in statistical data visualization.

Module 2: Seaborn Fundamentals (5 Hours)

Figure-Level vs Axes-Level Functions
Understanding DataFrames
Long-form vs Wide-form Data
Color Palettes
Styling Charts
Context Settings
Titles, Labels & Legends
Practice Lab

Learn the core concepts of Seaborn visualization.

Module 3: Relational Plots (5 Hours)

scatterplot()
lineplot()
relplot()
Bubble Charts
Multiple Variables
Hue, Size & Style
Confidence Intervals
Mini Project

Create effective relational visualizations.

Module 4: Distribution Plots (5 Hours)

histplot()
kdeplot()
displot()
ecdfplot()
rugplot()
Understanding Data Distribution
Outlier Detection
Practical Exercises

Analyze distributions and identify hidden patterns.

Module 5: Categorical Data Visualization (5 Hours)

barplot()
countplot()
boxplot()
violinplot()
stripplot()
swarmplot()
pointplot()
catplot()

Visualize and compare categorical datasets effectively.

Module 6: Statistical Visualization (5 Hours)

Regression Analysis
regplot()
lmplot()
Joint Distributions
jointplot()
Pairwise Relationships
pairplot()
Correlation Analysis

Perform statistical analysis using advanced Seaborn plots.

Module 7: Matrix & Heatmap Visualizations (5 Hours)

Correlation Matrix
heatmap()
Annotated Heatmaps
Cluster Maps
clustermap()
Pivot Tables
Missing Value Visualization

Discover relationships using heatmaps and clustering techniques.

Module 8: Advanced Seaborn Customization (5 Hours)

Custom Themes
Custom Color Palettes
Figure Sizes
Subplots
Multiple Axes
Annotation
Publication-ready Figure Styling

Create professional and publication-quality visualizations.

Module 9: Time Series Visualization (5 Hours)

Time-based Data
Date Formatting
Trend Analysis
Rolling Average
Seasonal Visualization
Financial Charts
Sensor Data Visualization

Module 10: Exploratory Data Analysis (EDA) using Seaborn (5 Hours)

EDA Workflow
Missing Data Analysis
Feature Relationships
Correlation Analysis
Univariate Analysis
Bivariate Analysis
Multivariate Analysis
Case Studies

Prerequisites

Basic Python Programming
Basic NumPy
Basic Pandas
Fundamental Statistics (Recommended)

Module 11: Real-world Projects (5 Hours)

Sales Dashboard
HR Analytics
Customer Segmentation
Healthcare Analytics
Financial Analysis
Marketing Analytics
Business Reporting

Module 12: Capstone Project & Certification Assessment (5 Hours)

End-to-End Visualization Project
Dataset Cleaning
Exploratory Data Analysis
Dashboard Creation
Report Preparation
Best Practices
Final Assessment
Certification Exam

Learning Outcomes

Create professional statistical visualizations using Seaborn.
Perform Exploratory Data Analysis (EDA) on real-world datasets.
Customize publication-quality charts.
Build analytical reports using Seaborn & Matplotlib.
Analyze trends, distributions, correlations and categorical data.
Complete end-to-end visualization projects for professional portfolios.

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