Master Python Data Visualization

Design, Build, and Automate Visual Insights with Python and AI

Course Curriculum

20 Chapters · 38 Lessons

1
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2
1. (Included in full purchase)
  The Foundation of Visual Thinking
2. (Included in full purchase)
  The Foundation of Visual Thinking
3
1. (Included in full purchase)
  Setting Up Your Visualization Environment
2. (Included in full purchase)
  Setting Up Your Visualization Environment
4
1. (Included in full purchase)
  Data Handling Essentials
2. (Included in full purchase)
  Data Handling Essentials
5
1. (Included in full purchase)
  Matplotlib Fundamentals
2. (Included in full purchase)
  Matplotlib Fundamentals
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1. (Included in full purchase)
  Customizing Matplotlib Aesthetics
2. (Included in full purchase)
  Customizing Matplotlib Aesthetics
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1. (Included in full purchase)
  Arranging Matplotlib Plots
2. (Included in full purchase)
  Arranging Matplotlib Plots
8
1. (Included in full purchase)
  Advanced Matplotlib Techniques
2. (Included in full purchase)
  Advanced Matplotlib Techniques
9
1. (Included in full purchase)
  Preparing Matplotlib for Production
2. (Included in full purchase)
  Preparing Matplotlib for Production
10
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  Introduction to Seaborn
2. (Included in full purchase)
  Introduction to Seaborn
11
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  Seaborn for Distribution and Categorical Data
2. (Included in full purchase)
  Seaborn for Distribution and Categorical Data
12
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  Seaborn for Relationships and Matrix Plots
2. (Included in full purchase)
  Seaborn for Relationships and Matrix Plots
13
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  Advanced Seaborn Features
2. (Included in full purchase)
  Advanced Seaborn Features
14
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  Prompting for Visualization Code
2. (Included in full purchase)
  Prompting for Visualization Code
15
1. (Included in full purchase)
  Refining AI-Generated Visualizations
2. (Included in full purchase)
  Refining AI-Generated Visualizations
16
1. (Included in full purchase)
  Automation with AI Prompts
2. (Included in full purchase)
  Automation with AI Prompts
17
1. (Included in full purchase)
  Building Reusable Prompt Templates
2. (Included in full purchase)
  Building Reusable Prompt Templates
18
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  Data Storytelling and Ethics
2. (Included in full purchase)
  Data Storytelling and Ethics
19
1. (Included in full purchase)
  The Future of Visualization AI
2. (Included in full purchase)
  The Future of Visualization AI
20
1. (Included in full purchase)
  Index

About the Course

Data visualization turns complex data into insight, alignment, and action—and it is a core skill for modern data, analytics, and engineering roles. Prompting Python Data Visualization shows you how to design clear, trustworthy visuals in Python, while accelerating the entire workflow by translating natural-language intent into working visualization code with AI. You begin with the foundations of visual thinking and data handling, then build strong technical skills using Matplotlib and Seaborn. The book takes you from basic plots to advanced layouts, styling, annotations, time-series analysis, and publication-ready exports, grounded in real-world analytics and reporting use cases. As you progress, you learn prompt engineering techniques to generate charts with AI, refine and debug AI-produced code, and automate repetitive visualization tasks using reusable prompt templates. By the end of the book, you will produce professional visuals for reports, notebooks, and dashboards with speed, consistency, and confidence.

About the Author

Aleksei Aleinikov is a Senior Platform and Cloud Engineer specializing in security-first cloud architecture and scalable systems. He builds reliable Python analytics and visualization workflows, focusing on IAM, observability, and operational rigor, and actively shares hands-on engineering insights with the developer community.