Learning pathways built around real analytical outcomes
CDI resources are organized into four learning pathways. Each pathway helps you build, explain, document, and use your work to demonstrate capability.
Data Science
Build analytical workflows, visualizations, models, and reproducible reports.
Build core skill in data workflow: setup, load, clean, explore, visualize, and summarize.
Focus: Core workflow
Outcome: Repeatable analysis process
Create clear plots, interpret patterns, and communicate analytical findings.
Focus: Visual reasoning
Outcome: Clear data stories
Learn applied ML workflows with evaluation logic, interpretation, and defensible model use.
Focus: Evaluation logic
Outcome: Trustworthy models
Use schema thinking, SQL, joins, and analytics-ready datasets for reporting and ML.
Focus: Query workflows
Outcome: Reliable datasets
Applied Bioinformatics
Work with omics data, interpret results, and connect analysis to biological meaning.
Diversity, ordination, comparisons, and interpretation using abundance tables and metadata.
Focus: Diversity + metadata
Outcome: Context-aware conclusions
QC logic, contrasts, differential expression, enrichment, and reproducible reporting.
Focus: QC + DE logic
Outcome: Defensible gene results
Association testing, Manhattan/QQ plots, multiple testing, and careful interpretation.
Focus: QC + testing
Outcome: Interpretable signals
QC, clustering, marker logic, annotation, and high-dimensional visualization.
Focus: Clusters + markers
Outcome: Interpretable cell types
Clinical & Medical Data
Evaluate evidence, interpret results, and support defensible clinical or medical claims.
Interpret evidence for safety, performance, and proportionate medical-device claims.
Focus: Evidence + claims
Outcome: Defensible interpretation
Structure and validate patient data to prepare for reliable clinical analysis.
Focus: Data structure
Outcome: Analysis-ready clinical data
Analyze patient cohorts and outcomes to identify patterns and clinical signals.
Focus: Cohorts + outcomes
Outcome: Clear clinical summaries
Translate clinical insights into structured decisions for care, evidence, and practice.
Focus: Insight to action
Outcome: Defensible recommendations
AI, Thinking & Decision Systems
Use AI responsibly to structure reasoning, improve workflows, and support better decisions.
A human-first guide to working with AI using judgment, verification, and clear reasoning.
Focus: Human → AI → Human
Outcome: Defensible AI use
Use AI to accelerate thinking while maintaining control, verification, and responsibility.
Focus: Tool use
Outcome: Better AI-supported work
Move beyond outputs toward interpretation, claims, and decisions in real contexts.
Focus: Reasoning systems
Outcome: Sound decisions
Integrate human judgment and AI support into structured analytical workflows.
Focus: Workflow integration
Outcome: Responsible execution
Career Growth & Applied Practice
Move beyond learning into real-world application, portfolio structure, and visible proof of capability.
A structured pathway from skills to opportunities through projects, portfolio, and clear communication.
Focus: Projects + visibility
Outcome: Real-world opportunities
Advanced practical guidance for learners ready to build systems, explain decisions, and document real work.
Focus: Build + explain + document
Outcome: Visible proof of capability
Build. Explain. Document. Demonstrate.
Start with a pathway that matches your goals, then use CDI mentorship when you are ready to turn learning into real-world execution.