Practical data and AI skills, alongside your programme
Your students learn the theory. We add the hands-on layer — SQL, Python, R, Power BI and applied AI on real datasets — in formats that fit around your semester.
Ways we can work with your institution
Workshops
One to three days on a single skill — for example Power BI dashboards or SQL for analysis — timed around your academic calendar.
Bootcamps
A full course from our catalogue run as a cohort for your students, on campus or at our training space.
Faculty development
Hands-on sessions for teaching staff on the tools and on using AI responsibly in teaching and assessment.
Project & capstone support
Guidance for final-year and research projects that use data analysis, statistics or dashboards.
Research methods in R
For postgraduate and research students: survey data, hypothesis testing and report-ready output in R.
Career-readiness sessions
What data and AI roles actually involve, and how to show your skills with a portfolio rather than a list.
Four steps, and nothing is signed until step three
Talk
We learn your programme, your students’ level and your calendar.
Propose
A written plan: format, content, dates, and what students will produce.
Agree
You review the full course content and confirm before anything is scheduled.
Deliver
Hands-on sessions, projects, and certificates for students who complete them.
Tell us about your programme
We’ll reply within one working day.