Turn your data into insights you can explain and defend.
Free practicals, reference guides, and personal guidance for learning data skills, checking AI-assisted work, and producing results you understand.
Your goals. AI-assisted progress. Human judgment.
Need guidance? Explore mentorship →
What would help you today?
Start where you need help. You can use the guides and practicals independently, with no purchase required.
Complete a task
Follow a practical and produce a documented result, report, or portfolio item.
Browse free practicals →Understand a method
Find the concept, workflow, or interpretation check you need in a reference guide.
Browse reference guides →Work through a challenge
Share your goal, what you have tried, and the point where you need feedback.
Get guidance →Use AI. Check the evidence.
Explore two free guides under active development and a worked microbiome example. Practice AI-assisted analysis, verify outputs, and explain what the evidence supports.
Artificial Intelligence
Frame an AI task, evaluate failures, and document a workflow others can inspect.
Open AI guide →Evaluating AI-Assisted Bioinformatics
Check scientific claims, identify evidence gaps, and give clear feedback.
Open evaluation guide →AI-Assisted Microbiome Analysis
Compare two microbial communities, verify results, and explain their limitations.
Open worked example →Build skills through useful work.
Choose a starting point that connects to your next goal.
Data analysis
Clean and explore data, create clear charts, and document how you reached your results.
Explore data science practicals →Career evidence
Identify your skills, organize portfolio evidence, and strengthen your professional profiles.
Explore career practicals →Microbiome and RNA-seq
Explore study design, reproducible analysis, and defensible biological interpretation.
Explore bioinformatics resources →Explore your field.
Find related guides and practicals across six domains. Resource coverage varies by topic.
Data Science
Analysis, visualization, statistics, databases, and machine learning.
Explore Data Science →Artificial Intelligence
AI-assisted workflows, evaluation, verification, and human judgment.
Explore Artificial Intelligence →Omics & Bioinformatics
Biological data, analytical workflows, and interpretation.
Explore Omics & Bioinformatics →Clinical & Medical Data
Data quality, evidence, validation, and responsible reporting.
Explore Clinical & Medical Data →Career Development
Skills, portfolios, professional profiles, and career direction.
Explore Career Development →Research & Innovation
Dataset discovery, reproducible inquiry, and research methods.
Explore Research & Innovation →Scientific reasoning. Practical learning.
CDI was founded by Teresia Mrema Buza, a computational biologist and data scientist. Her work connects reproducible analysis, clear interpretation, and guidance that helps people understand and explain their own results.
Meet the founder and explore CDI’s approach →Need help moving forward?
Learning data analysis, building a portfolio, or working through a research challenge? Tell us your goal and where you need support.
Start a conversation about a practical next step.