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Essential Skills Course

Data Visualization Course

Master the art and science of transforming data into compelling visual stories. Learn fundamental visualization principles, cognitive design concepts, and hands-on implementation using Python libraries including Matplotlib, Seaborn, and Plotly. Develop expertise in creating interactive dashboards, geospatial visualizations, and data storytelling techniques.

Python Visualization Libraries
Interactive Dashboards
Geospatial Visualizations
Data Storytelling Techniques

This comprehensive course covers everything from fundamental visualization principles and color theory to advanced interactive dashboards and geospatial mapping, culminating in a capstone project that demonstrates professional data storytelling capabilities.

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Data Visualization Course

Course Overview

Key Features

  • Comprehensive 10-Lesson Journey from visualization fundamentals to advanced storytelling
  • Cognitive Science Approach exploring perception principles and chart psychology
  • Multi-Platform Training with Matplotlib, Seaborn, Plotly, and Dash frameworks
  • Interactive Dashboard Development using modern web-based visualization tools
  • Real-world Case Studies analyzing both excellent and poor visualization examples
  • Portfolio-Building Capstone with storytelling-based dashboard creation

Skills You'll Master

  • Chart Selection Expertise: Choosing optimal visualizations for different data types and audiences
  • Design Principles: Color theory, accessibility considerations, and consistent visual aesthetics
  • Advanced Plotting: Statistical visualizations, custom styling, and interactive elements
  • Data Storytelling: Narrative structures, strategic annotation, and compelling call-to-action techniques
  • Specialized Visualizations: Time-series analysis, geospatial mapping, and choropleth creation
  • Visual Analytics: Dashboard design for decision-making, data ink optimization, and chart junk elimination

Curriculum Details

Eligibility:
Basic Python knowledge and data analysis fundamentals
Prerequisites:
Python programming experience and understanding of data structures
Duration:
10 comprehensive lessons + hands-on capstone project