By Metridata Editorial Team · Updated October 2026 · 5 min read · Data Analysis
Many graduates leave university able to explain statistics but with little experience handling a messy dataset. Employers notice. In a review of 100 entry-level data adverts in Kenya, 62% asked for prior professional experience, and tools such as Excel, SQL and Power BI appear again and again in the requirements.
Closing that gap does not require a new degree. A university, college or school can add practical data skills in smaller steps that fit the existing timetable.
Four formats that work
A two-day hands-on workshop. The quickest way to start. A class or department spends two days cleaning a real dataset, building a chart or dashboard and presenting what it found. It suits a single cohort and needs no change to the curriculum.
A short elective or student data club. Weekly sessions across a term let students build skills in steps and finish a small project. A club also works for students from different faculties, which suits data skills well.
A data challenge day. Teams get a real problem and a dataset, for example enrolment figures, local government budgets or a business’s sales records, and present their answers at the end of the day. It builds teamwork and gives students something concrete to talk about in interviews.
Training for lecturers and trainers. If staff can teach the practical side themselves, the benefit continues after any outside trainer leaves. This works well alongside one of the formats above.
What to prepare before the first session
- Computers. Power BI Desktop runs on Windows only, so check what the lab has, or ask students to bring Windows laptops.
- Software. Excel and Power BI Desktop need to be installed ahead of time, and SQL practice works best with a database already set up.
- Datasets. Real data teaches far more than textbook examples. Use data the students will recognise, and make sure you have permission to use it.
- Connectivity. Check that the room has reliable internet before the day, not on it.
How to know it worked
Set a simple task at the start and a similar one at the end, then compare. Keep the projects students produced. Ask them a month later whether they have used any of the skills. Those three things tell an institution far more than an attendance sheet.
Paying for it
Cost stops many institutions. Options include a department budget line, a student activity fund, a partner company or NGO that sponsors the sessions, or a subsidised rate from the training provider. Through our Student Access Programme, eligible public universities, TVET colleges and schools can book a two-day workshop for up to 30 students at a subsidised rate, and sponsors can fund places or whole workshops.
To see formats and prices, visit our data analysis training and consultancy page, or send an institution or sponsor enquiry with your department, class size and timetable and we will suggest a fit.
