Find a pathway into practical, defensible capability.
CDI pathways connect structured learning, applied systems, hands-on practicals, mentorship, and visible evidence of capability.
Start with the domain that matches your goals, use the available guides to build foundations, and progress toward work that you can document, explain, and use.
From structured learning to applied evidence
CDI is designed for independent learners, early-career professionals, researchers, mentors, and builders who want more than disconnected tutorials. Each pathway connects knowledge, workflow, interpretation, communication, and professional evidence.
Data Science
Build analytical workflows, visualizations, models, database skills, and reproducible reports.
Data Science Foundations
Learn the core concepts and workflows required for analytical work, from data structure and preparation to interpretation.
Data Visualization with Python
Use Matplotlib, Plotly, dashboards, maps, and visual storytelling to communicate analytical findings clearly.
Machine Learning with Python
Develop classification, regression, evaluation, tuning, interpretation, and deployment-oriented workflows.
Databases & SQL
Build practical skills in querying, joins, schema design, data organization, and analytics workflows with SQL.
Applied Bioinformatics
Work with omics data, construct reproducible analysis systems, interpret results, and connect analytical outputs to biological meaning.
Microbiome Analysis
Work through diversity, ordination, differential analysis, metadata, functional profiling, and biological interpretation.
RNA-Seq Analysis
Build workflows for quality control, differential expression, enrichment analysis, interpretation, and reproducible reporting.
GWAS Analysis
Explore association testing, quality control, Manhattan and QQ plots, multiple testing, and responsible interpretation.
Single-Cell RNA-Seq
Develop workflows for quality control, dimensionality reduction, clustering, markers, annotation, and visualization.
Clinical & Medical Data
Organize clinical data, evaluate evidence, interpret results, and support clear, proportionate, and defensible medical conclusions.
Electronic Health Records
Structure, validate, document, and prepare patient-level data for reliable clinical analysis.
Clinical Analytics
Analyze cohorts, outcomes, trends, and limitations while preserving context and responsible interpretation.
Clinical Evidence for Medical Devices
Evaluate evidence for safety, performance, intended use, benefit-risk reasoning, and proportionate clinical claims.
Clinical Decision Support
Translate clinical evidence into useful decision support while preserving professional judgment and accountability.
AI, Thinking & Decision Systems
Use AI responsibly to structure reasoning, improve workflows, build reusable systems, and support better decisions without surrendering human judgment.
Thinking with AI
Learn a human-first approach to using AI from a clear position while maintaining judgment, context, and control.
AI as a Tool
Use AI to accelerate work while retaining responsibility for objectives, evidence, context, verification, and decisions.
Decision-Making & Reasoning
Move beyond generated outputs by evaluating evidence, interpreting results, and developing defensible conclusions.
AI in Real Workflows
Integrate AI support with human review, domain knowledge, reusable processes, documentation, and quality control.
Turn pathway knowledge into hands-on work.
CDI Practicals are productized hands-on exercises and step-by-step tools. They help you apply a focused process, produce a usable output, and turn learning into evidence that can support your portfolio, profile, mentorship, or career development.
Move from independent learning into guided practice.
Mentorship helps connect pathway knowledge to execution. Learners can receive structure, feedback, accountability, and guidance while building systems, completing practical work, and developing visible professional evidence.
Start with one pathway and build from there.
You do not need to follow every pathway. Choose the domain that supports your current objective, build a strong foundation, and progress toward applied work that you can explain and use.