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Python Visualization and Dashboard Practice (Using Seaborn and PlotlyDash) Part.1

This course focuses on developing immediately applicable visualization skills by utilizing Seaborn, a core tool for data visualization, and Plotly/Dash for building interactive dashboards. Through various hands-on exercises, you can simultaneously improve your ability to create insight-driven visual materials and implement web-based dashboards.

7 learners are taking this course

Level Beginner

Course period 12 months

  • usefulit
Python
Python
Seaborn
Seaborn
Python
Python
Seaborn
Seaborn

What you will gain after the course

  • You can draw various graphs yourself by utilizing Seaborn functions.

  • You can quickly identify insights by visualizing data.

Practical Python Visualization and Dashboards (Using Seaborn and PlotlyDash)
Part.1 Seaborn

Take the first step in making data 'visible' and build your visualization foundation with Seaborn.

This course focuses on developing visualization skills that can be immediately applied in practice, centered around Seaborn, a core tool for data visualization.
You will understand the structure of Seaborn and its differences from Matplotlib, and through hands-on practice with various visualization functions, you will cultivate a sense for visually interpreting and communicating data.

This course is the first step in the 'Python Visualization and Dashboard Practice' series.
Part 2 covers advanced visualization using Seaborn's high-level objects (FacetGrid, PairGrid, JointGrid),
and Part 3 and Part 4 continue through to building interactive dashboards using Plotly and Dash.


🎯 Learning Objectives

  • You can directly set up and use the Seaborn practice environment.

  • Understand the relationship and structural differences between Matplotlib and Seaborn.

  • Learn the characteristics and usage methods of Figure-level and Axes-level functions.

  • Complete the data visualization fundamentals that can be applied to practical work.



⚙️ Tools Covered

  • Python

  • Seaborn / Matplotlib



📂 Curriculum

Section 1. Development Environment Installation

Prepare and configure the development environment for visualization practice.

Section 2. Seaborn Library Overview

Understand the overall structure and key features of Seaborn, and learn the basic usage.

Section 3. Understanding Visualization Functions (Axes-level vs. Figure-level)

Understand the structural classification of Seaborn visualization functions, and learn the characteristics and usage of each method.


✅ Checklist

  • This course does not provide Q&A with the instructor.

  • Lecture materials and syllabi can be downloaded from the first lesson [Lesson Materials] of each section.

Recommended for
these people

Who is this course right for?

  • People who want to study Python

  • People who want to create visual materials

  • Learners who want to expand into creating Plotly/Dash dashboards in the future

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15 lectures ∙ (8hr 51min)

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