Analyze and Visualize Data with Python Seaborn

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Analyze and Visualize Data with Python Seaborn

Instructor: TSV Learning

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2 modules

Gain insight into a topic and learn the fundamentals.

5 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

5 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Create and customize statistical visualizations using Python Seaborn, Pandas, and Matplotlib to explore data patterns and relationships.
Apply scatter plots, box plots, swarm plots, and pair plots to compare distributions, identify outliers, and analyze customer data.
Perform exploratory data analysis using categorical data preprocessing, label encoding, and correlation heatmaps to interpret banking datasets.

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There are 2 modules in this course

Learn to analyze and visualize data with Python Seaborn, turning statistical charts into meaningful insights for business decisions.

Designed for learners who want practical Python data visualization skills, this course introduces Seaborn alongside Pandas and Matplotlib. You'll explore distribution plots, scatter plots, heatmaps, box plots, swarm plots, and pair plots to compare variables, identify outliers, and interpret patterns and correlations. Work through examples involving employee salaries and bonuses, customer satisfaction ratings, and travel preferences. Then apply categorical data preprocessing, label encoding, and correlation heatmaps to a banking dataset. Through project-driven exercises, you'll practice selecting, customizing, and interpreting charts for exploratory data analysis. By the end, you'll be able to examine numerical distributions, analyze relationships between features, and communicate data-driven findings clearly. What makes this course distinctive is its progression from Seaborn fundamentals to practical business-focused datasets, giving you opportunities to apply each visualization technique to real analytical questions.

This module introduces Python Seaborn for data visualization, covering library setup, fundamental plotting techniques, and exploratory data analysis. Learners explore different types of plots, distribution analysis, scatter plots, and heatmaps to understand numerical data patterns and relationships. Through practical examples involving employee datasets, salary comparisons, and bonus analysis, the module develops essential skills in creating, customizing, and interpreting statistical visualizations using Seaborn, Pandas, and Matplotlib.

What's included

6 videos3 assignments

6 videosTotal 31 minutes

Introduction to Seaborn Part 17 minutes
Introduction to Seaborn Part 25 minutes
Different Types of Plots4 minutes
Distribution Plot5 minutes
Scatter Plot and Heat Map part 16 minutes
Scatter Plot and Heat Map part 25 minutes

3 assignmentsTotal 50 minutes

Getting Started with Seaborn and Plot Types10 minutes
Exploring Data with Distribution, Scatter, and Heat Maps10 minutes
Seaborn Foundations and Essential Visualization Techniques30 minutes

This module focuses on practical data visualization projects using Python Seaborn to solve real-world analytical problems. Learners apply scatter plots, box plots, swarm plots, and pair plots to investigate customer preferences, identify outliers, and compare data distributions. The module also introduces a banking dataset project involving categorical data preprocessing, label encoding, correlation analysis, and heatmap visualization. By completing these applications, learners strengthen their ability to analyze complex datasets, interpret statistical patterns, and communicate meaningful insights through effective visualizations.

What's included

7 videos3 assignments

7 videosTotal 58 minutes

Problem Scatter Plot9 minutes
Problem Scatter Plot Conntinue9 minutes
Box Plot4 minutes
Problem Swarm Plot11 minutes
Bank Problem9 minutes
Bank Problem HeatMap10 minutes
Seeborn Conclusion8 minutes

3 assignmentsTotal 50 minutes

Solving Data Problems with Scatter, Box, and Swarm Plots10 minutes
Bank Data Visualization Project and Course Wrap-Up10 minutes
Applied Seaborn Visualization and Problem-Solving Projects30 minutes

Instructor

TSV Learning

The Skill Valley

130 Courses844 learners

Offered by

The Skill Valley

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