Data Analytics for Beginners
Python, spreadsheets, data cleaning, analysis and visualisation taught through practical business examples.
Inferaq Academy
Build practical data and AI capability—not passive course completion.
Inferaq Academy helps learners and teams develop usable skills through live explanation, guided practice, projects, feedback and routes towards relevant certification. Programmes are designed around what people must be able to do after the training.
Learning routes
From confident beginner to capable practitioner.
Corporate Data & AI Upskilling
Role-relevant programmes shaped around organisational data, tools, governance and adoption goals.
AI and Agentic AI Workshops
Understand useful AI patterns, limitations, responsible use and how agents can support bounded workflows.
Guided Certification Preparation
Structured revision, practice and project evidence aligned to the selected external certification.
How learners progress
Explain. Demonstrate. Practise. Apply. Reflect.
Sessions combine clear teaching, live examples, classwork and projects. Learners receive opportunities to ask questions, revisit difficult concepts and connect technical skills to realistic workplace decisions.
For organisations
Training connected to transformation.
Academy programmes can support a wider Inferaq delivery engagement, helping teams understand the data platform, automation or AI capability being introduced rather than becoming dependent on an external supplier.
Discuss training needsCohorts and programmes
Ask about current availability.
Programme dates, delivery format, prerequisites, fees and certification arrangements should be confirmed for each cohort. Inferaq will not imply that an external certification is guaranteed.
Enquire about the Academy