CDI Resources

Open guides for structured learning and real applied capability

CDI Resources are the open learning layer of Complex Data Insights. They organize public guides, system pathways, and applied learning tracks across data science, omics, clinical data, and AI-assisted decision systems.

Start here to learn the concepts and workflow logic. When you are ready to apply them through a focused step-by-step task, move into CDI Practicals.

How CDI Resources connect to Practicals

CDI Resources help you learn the ideas. CDI Practicals help you do focused work with step-by-step structure.

01

Learn with open guides

Use CDI Resources to understand concepts, workflows, interpretation logic, and domain-specific systems.

02

Apply through Practicals

Use CDI Practicals when you want a focused hands-on exercise, template, or step-by-step tool that produces a usable output.

03

Grow with mentorship

Use mentorship when you want guidance, feedback, review, or help turning your work into stronger evidence of capability.

Data Science

Build analytical workflows, visualizations, models, and reproducible reports.

Foundation → analysis → visualization → modeling → reporting
Data Science Foundations (Python)
Free

Build core skill in data workflow: setup, load, clean, explore, visualize, and summarize.

Best for: Beginners + refreshers
Focus: Core workflow
Outcome: Repeatable analysis process
Data Visualization (Python)
Free

Create clear plots, interpret patterns, and communicate analytical findings.

Best for: Analysts and researchers
Focus: Visual reasoning
Outcome: Clear data stories
Machine Learning (Python)
Free

Learn applied ML workflows with evaluation logic, interpretation, and defensible model use.

Best for: Practical ML learners
Focus: Evaluation logic
Outcome: Trustworthy models
Databases & SQL for Analytics
Free

Use schema thinking, SQL, joins, and analytics-ready datasets for reporting and ML.

Best for: Analysts using SQL
Focus: Query workflows
Outcome: Reliable datasets

Applied Bioinformatics

Work with omics data, interpret results, and connect analysis to biological meaning.

Data structure → QC → analysis → biological interpretation
Microbiome Analysis
Free

Diversity, ordination, comparisons, and interpretation using abundance tables and metadata.

Best for: Microbial studies
Focus: Diversity + metadata
Outcome: Context-aware conclusions
RNA-Seq Analysis
Free

QC logic, contrasts, differential expression, enrichment, and reproducible reporting.

Best for: Transcriptomics workflows
Focus: QC + DE logic
Outcome: Defensible gene results
GWAS Analysis
Free

Association testing, Manhattan/QQ plots, multiple testing, and careful interpretation.

Best for: Association studies
Focus: QC + testing
Outcome: Interpretable signals
Single-Cell RNA-Seq
Free

QC, clustering, marker logic, annotation, and high-dimensional visualization.

Best for: scRNA-seq learners
Focus: Clusters + markers
Outcome: Interpretable cell types

Clinical & Medical Data

Evaluate evidence, interpret results, and support defensible clinical or medical claims.

Evidence → intended use → interpretation → defensible claims
Electronic Health Records
Planned

Structure and validate patient data to prepare for reliable clinical analysis.

Best for: Clinical data beginners
Focus: Data structure
Outcome: Analysis-ready clinical data
Clinical Analytics
Planned

Analyze patient cohorts and outcomes to identify patterns and clinical signals.

Best for: Applied health data work
Focus: Cohorts + outcomes
Outcome: Clear clinical summaries
Clinical Decision Support
Planned

Translate clinical insights into structured decisions for care, evidence, and practice.

Best for: Decision workflows
Focus: Insight to action
Outcome: Defensible recommendations

AI, Thinking & Decision Systems

Use AI responsibly to structure reasoning, improve workflows, and support better decisions.

Human position → AI support → verification → decision
AI as a Tool
Free

Use AI to accelerate thinking while maintaining control, verification, and responsibility.

Best for: Practical AI users
Focus: Tool use
Outcome: Better AI-supported work
Decision-Making & Reasoning
Planned

Move beyond outputs toward interpretation, claims, and decisions in real contexts.

Best for: Analytical decision-makers
Focus: Reasoning systems
Outcome: Sound decisions
AI in Real Workflows
Planned

Integrate human judgment and AI support into structured analytical workflows.

Best for: Applied teams + learners
Focus: Workflow integration
Outcome: Responsible execution

Career Growth & Applied Practice

Move beyond learning into real-world application, portfolio structure, and visible proof of capability.

Skills → projects → portfolio → opportunities
Portfolio Evidence Practical
Pipeline

A focused practical for turning completed learning, projects, and outputs into clear portfolio evidence.

Best for: Learners preparing visibility
Focus: Evidence, structure, and presentation
Outcome: Stronger portfolio-ready proof

Learn openly. Apply practically. Grow with guidance.

Start with open CDI Resources, move into CDI Practicals when you want a focused step-by-step task, and use mentorship when you are ready for guided support and feedback.