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? Share your challenge →
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.
Two free guides under active development help you examine AI outputs, identify errors, 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 Analyses
Check scientific claims against data and methods, distinguish errors from missing evidence, and write actionable feedback.
Open evaluation guide →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 →How can we help you?
Tell us what you want to achieve, what data or work you have, and where you are stuck. Include what you have tried and the kind of support that would help.
Use the Contact page to send your goal and questions. Please leave out sensitive or identifiable records.