Learning Paths: Your Guided Journey Through Spatial Analysis

Structured learning paths to guide you through ChatSpatial from beginner to expert. Each path provides a complete curriculum with time estimates, practice exercises, and clear progression milestones.

Choose Your Path

🌱 Beginner Path

For: New users with no coding experience
Time: 4-6 hours over 1-2 weeks
Focus: Conversation-based learning, basic analysis, visualization

You’ll master:

  • Loading data through conversation
  • Identifying cell types and spatial domains
  • Creating beautiful visualizations
  • Understanding basic spatial biology concepts

Success outcome: Independent analysis through natural conversation

🔬 Intermediate Path

For: Users comfortable with basics wanting advanced methods
Time: 6-8 hours over 2-3 weeks
Focus: Method selection, statistical analysis, integration

You’ll master:

  • Advanced spatial statistics (Moran’s I, LISA, Ripley’s K)
  • Spatial gene set enrichment analysis
  • Method comparison and selection
  • Multi-sample analysis and integration

Success outcome: Choose optimal methods for specific research questions

🚀 Advanced Path

For: Experienced users ready for cutting-edge research
Time: 8-12 hours over 3-4 weeks
Focus: Machine learning, temporal analysis, multi-modal integration

You’ll master:

  • Advanced spatial statistics methods
  • RNA velocity and trajectory analysis
  • Multi-modal data integration
  • Research-quality workflow design

Success outcome: Design and execute publication-ready studies

How Learning Paths Work

Structured Progression

  • Phase-based learning with clear milestones
  • Time estimates for planning your schedule
  • Prerequisites checklist before starting
  • Success indicators to track progress

Practice-Oriented

  • Real conversation examples from each tutorial
  • Practice exercises to reinforce concepts
  • Integration challenges combining multiple methods
  • Troubleshooting guides for common issues

Research-Focused

  • Biological interpretation emphasis throughout
  • Method selection guidance for research questions
  • Validation strategies for computational results
  • Publication preparation at advanced levels

Getting Started

  1. Assess your current level using the descriptions above
  2. Check prerequisites for your chosen path
  3. Set aside dedicated learning time - consistency matters more than intensity
  4. Follow the structured progression - each step builds on previous learning
  5. Practice with your own data once you complete each phase

Need Help Choosing?

Start with Beginner if you:

  • Are new to spatial transcriptomics
  • Prefer learning through conversation
  • Want to focus on biological insights
  • Have limited computational experience

Jump to Intermediate if you:

  • Understand basic spatial concepts
  • Want to learn method selection
  • Need statistical analysis capabilities
  • Plan to compare multiple approaches

Begin with Advanced if you:

  • Have research experience in spatial biology
  • Need cutting-edge computational methods
  • Plan to publish computational studies
  • Want to develop novel analysis approaches

Ready to start learning? Choose your path above and begin your journey from conversation to expertise.

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