Expert-Level Data Visualization with Python: From Fundamentals to Advanced Omics Analytics
This comprehensive tutorial series transforms intermediate Python users into expert data visualization practitioners, focusing on analysis + communication rather than just creating charts. The curriculum covers general visualization principles, geospatial mapping, and specialized genomic/epigenomic data visualization.
- Chart Selection & Design Excellence
- Technical Proficiency across 15+ libraries
- Geospatial & Omics Visualization
- Interactive Dashboards & Publication Standards
# Clone and setup
git clone https://github.com/SanjeevaRDodlapati/DataVisualization-Comprehensive-Tutorial.git
cd DataVisualization-Comprehensive-Tutorial
# Create environment
conda env create -f environment.yml
conda activate dataviz_env
# Download data and start
python scripts/download_data.py
jupyter lab
Core Track (35-45 hours): Modules 1-14 Omics Track (13-15 hours): Modules 15-17
Total: 48-60 hours of comprehensive data visualization mastery.
Transform your data into insights, and your insights into impact.