Scheduled cohorts
Each track opens on a set date and runs live to a timetable, so you know what you are committing to before you start.
Loreon Academy
Sessions are taught by the engineers doing our client work, so you get current practice and the reasoning behind it. Past sessions are free to watch on YouTube.
How it works
Training runs in scheduled cohorts. Sessions are live, taught by the engineers who do our client work, and built around the tools people actually use at work.
A large library of past sessions is free to watch on YouTube. Start there if you want to judge the teaching before you enrol in anything.
Each track opens on a set date and runs live to a timetable, so you know what you are committing to before you start.
Recorded sessions on the Data with Dami channel cover much of the material. Watch it, then decide whether a live cohort adds anything for you.
Excel, SQL, Python, Power BI and Tableau, taught on the kind of data and questions you will meet in a working role.
Programmes
Three cohort tracks, one-to-one mentorship, private training for organisations, and a small number of internship placements. Dates and fees are shared on enquiry.
Python for analysis, statistics that matter in practice, feature engineering, supervised and unsupervised modelling, honest validation, and deployment of a model behind an API with monitoring attached.
SQL to a professional standard, data modelling, warehouse thinking, dashboard design that respects the reader, and the analytical framing that turns a request for "a report" into a question worth answering.
Building and shipping a real web application: version control discipline, API design, databases, testing, review culture, CI/CD and deployment. Weighted toward the habits that make a hireable engineer.
For career switchers and early-career engineers. Regular one-to-one sessions focused on whatever you are working on, with a plan pointed at a specific role.
Private programmes built on your stack, your data and your conventions. Common requests: SQL and analytics for non-analysts, Python for engineering teams, applied AI for product and operations leads, and data-literacy sessions for management.
A limited number of placements each intake, working alongside our engineers on real client and internal projects. Supervised, reviewed, and treated as a job rather than an observation exercise.
Curriculum
Weighted toward practice. Every topic is taught against a dataset or a codebase, never as slides alone.
Enrolling
Cohorts run to a schedule, so the main thing to establish is which track fits and when the next one opens.
Recorded sessions are free on YouTube. The quickest way to know whether our teaching suits you is to watch some of it.
Tell us which track interests you and where you are starting from. We reply with dates, fees and what the track assumes you already know.
Confirm for the next cohort. You get the timetable and the joining details ahead of the first session.
Sessions run live to the published timetable, taught by the engineers doing our client work, with materials to keep.
Watch a session before you pay for one. The recordings are free, and they are the same people teaching the same material.
Data with Dami on YouTube ↗
Fit
Admissions
Tell us which track interests you and where you are starting from. We will send the dates, the fees, and what the track assumes you already know.