Learn openly. Practise independently. Grow with guidance.
Explore free CDI guides and systems across six connected domains, strengthen your skills through structured DIY Practicals, and access mentorship when feedback, direction, or accountability would help you progress.
A flexible path from learning to application
Begin with the level of support that fits your current goals, experience, and preferred way of learning.
Learn openly
Build knowledge with free CDI guides, systems, examples, and reference materials.
Practise independently
Apply what you learn through focused DIY Practicals with structured tasks and clear outputs.
Grow with guidance
Use mentorship when feedback, direction, interpretation, or accountability would help you move forward.
Data Science
Build practical foundations for working with data—from programming, databases, cleaning, exploration, and visualization to machine learning, model evaluation, and deployment.
Open guides and systems
Free to accessData Science Foundations
OpenDevelop a structured foundation in Python, data handling, analysis, visualization, and reproducible workflows.
Open guideVisualization with Python
OpenCreate clear and effective visualizations with Matplotlib, Seaborn, Plotnine, and Plotly.
Open guideDatabases & SQL
OpenLearn how to organize, query, filter, join, summarize, and work responsibly with structured data.
Open guideMachine Learning with Python
OpenBuild a practical foundation in supervised and unsupervised learning, model evaluation, interpretation, and reproducible machine-learning workflows.
Open guideModel Deployment
OpenLearn how to package, deploy, test, monitor, and maintain machine-learning models as reliable applications and production-ready services.
Open guideDIY Practicals
Hands-on applicationArtificial Intelligence
Understand and use artificial intelligence thoughtfully for learning, reasoning, creativity, analysis, decision-making, and practical problem-solving across different fields.
Open resources
In developmentArtificial Intelligence Resources
Coming soonFuture resources will explore AI literacy, generative AI, prompt design, human–AI collaboration, critical evaluation, and the responsible use of AI-assisted systems.
The emphasis will be on using AI to strengthen human capability while preserving judgment, transparency, accountability, and meaningful human oversight.
DIY Practicals
Hands-on applicationOmics & Bioinformatics
Explore practical systems for discovering, acquiring, analyzing, and interpreting genomic, transcriptomic, proteomic, microbiome, and other biological data.
Open guides and systems
Free to accessData Acquisition System
OpenDiscover and acquire public sequencing datasets from NCBI through structured, reproducible, and documented workflows.
Use tools such as EDirect and SRA Toolkit to search metadata, retrieve sequencing records, and prepare data for downstream omics analysis.
Open systemRNA-Seq Analysis
OpenLearn how to explore count data, assess sample relationships, identify differential expression, and interpret RNA-Seq results.
Open guideGWAS Analysis
OpenExplore genome-wide association study concepts, data structures, quality considerations, analysis, and interpretation.
Open guideSingle-Cell Analysis
OpenBuild a practical understanding of single-cell data, quality assessment, dimensionality reduction, clustering, annotation, and interpretation.
Open guideMicrobiome Analysis
OpenLearn how to organize, explore, compare, visualize, and interpret microbiome data through structured workflows.
Open systemProteomics Analysis
OpenExplore proteomics data preparation, quality assessment, statistical analysis, visualization, and biological interpretation.
Open systemDIY Practicals
Hands-on applicationClinical & Medical Data
Develop practical understanding of clinical research data, medical evidence, responsible analysis, interpretation, reporting, and decision-making.
Open guide
Free to accessClinical & Medical Data
OpenExplore clinical and medical data concepts, study designs, data quality, statistical reasoning, responsible interpretation, and clear communication of findings.
Open guideDIY Practicals
Hands-on applicationCareer Development
Strengthen how you identify your skills, document evidence, present your experience, build professional profiles, and communicate your value with confidence.
Open resources
Practical guidanceCareer Development Resources
GrowingExplore guidance for recognizing transferable skills, documenting achievements, presenting career evidence, and making thoughtful professional-development decisions.
CDI career resources connect learning and technical work with portfolios, professional profiles, mentorship, and career progression.
DIY Practicals
Available nowResearch & Innovation
Develop rigorous, reproducible, and interdisciplinary approaches for turning research questions, complex data, and emerging ideas into credible knowledge and practical innovation.
Open guides and systems
Free to accessDataset Discovery
OpenFind suitable public datasets and evaluate their relevance, structure, quality, documentation, accessibility, and limitations before beginning an analysis or research project.
This cross-domain system supports transparent dataset selection for research, data science, omics, clinical, and interdisciplinary projects.
Open systemResearch & Innovation Resources
GrowingExplore guidance for developing research questions, designing reproducible workflows, evaluating evidence, documenting decisions, and communicating findings clearly.
Future resources will connect methods, data, technology, and domain knowledge to support transparent inquiry, interdisciplinary collaboration, and responsible innovation.
DIY Practicals
In developmentChoose the support that fits your next step
Use the open resources to build knowledge, explore CDI Practicals when you are ready to apply it, or connect through mentorship when personalized guidance would help you progress.