Which are the best AI and programming classes in Newtownards?
Census 2021 counted 29,677 usual residents in the Newtownards settlement, NISRA reports, within Ards and North Down, a council area of 163,659. Scrabo, Movilla, Glen, Loughries, Gregstown and West Winds are among the electoral wards listed for the BT23 postcode district. From primary pupils to adults of 67, anyone in the borough can learn AI, programming, Python, vibe coding and maths on camera with our tutors in India, one-to-one or in a group of five to ten matched by level. We teach how to question a result before how to produce one, so a striking chart never goes unchecked. Your opening session costs nothing, and we end it by naming a course that fits. The Newtownards project squeezes the age profiles of 146 Northern Ireland towns into one picture with t-SNE, the method behind many AI cluster maps, and then tests which of its patterns are real. Ongoing tuition is priced in US dollars: 100 a month for a seat in a class, 150 a month for lessons on your own.
AI researchers love a particular kind of picture: thousands of items, each described by many numbers, squashed onto a flat map where similar items land close together. Often it is made with t-SNE. The pictures look like islands and continents, and they invite stories. But a flat map of many dimensions has to throw information away, and t-SNE chooses what to keep in ways that change from run to run. This project builds such a map from real data: NISRA's census age profiles for every Northern Ireland settlement of 1,000 or more people, 146 of them, each described by 19 five-year age bands. Newtownards is one dot. The question is what its neighbours on the map really mean.
Facts last verified 29 September 2026. Teaching is online; no Newtownards branch is claimed.
Pick by age and interest; each course starts with a free live lesson and needs no payment details.

The how-to-think course: drawing maps of ideas and asking what a picture leaves out.
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Scratch games planned by the learner, built with AI help and tested carefully.
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Machine learning in Python, including the t-SNE map of Northern Ireland towns.
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Python for data, visualisation, machine learning and AI agents.
See the syllabusBrowse the course atlas for more than one hundred options and use the coding roadmap to check prerequisites.
The four we are known for
These run underneath everything above. Every one is live and online, placed by ability rather than by age, and the first class is free.

Python, web and AI projects where the learner still owns the thinking.
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Automate the work you already do, then let AI carry part of it.
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Train a model, read what it learned, and be able to say why it is wrong.
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Run AI coding agents on real work without losing control of the codebase.
See the syllabusCensus 2021 figures from NISRA, each printed as published and never added together.
| Area | Type of area | Usual residents |
|---|---|---|
| Newtownards | Settlement | 29,677 |
| Newtownards | District electoral area | 29,395 |
| Ards and North Down | Council area | 163,659 |
The settlement and the electoral area share a name but not a boundary, which is why their figures differ. Postcodes.io lists Conway Square, Cronstown, Glen, Gregstown, Loughries, Movilla, Scrabo and West Winds among the electoral wards of the BT23 district, which also takes in the Comber and Ballygowan areas. Schools here follow the Northern Ireland Curriculum, so we work in P1 to P7 and Years 8 to 14 and support CCEA GCSE and A level in Digital Technology, Computer Science and Maths. Tell us your holiday dates and lessons will fit round them.
See coding and AI classes in Northern Ireland, Bangor and Belfast. Why we teach thinking before tools is on learn to think, not just use AI tools.
Nineteen numbers per town, squeezed into two, and checked against the originals.
The learner downloads NISRA's Census 2021 table MS-A02, which counts residents in five-year age bands for every settlement, and keeps the 146 settlements with at least 1,000 people. Each becomes a list of 19 percentages, from 0 to 4 years up to 90 and over. In those 19 dimensions, the towns whose age mix is closest to Newtownards are Enniskillen, Coleraine, Ballymoney, Ballymena and Larne. Python then flattens everything to two dimensions twice: once with principal component analysis (PCA), a straight projection, and once with t-SNE, which tries hard to keep each town next to its closest matches.
| Map | Settings | True 10 nearest kept on the map | Trustworthiness score |
|---|---|---|---|
| PCA | Straight projection | 45.7% | 0.893 |
| t-SNE | Perplexity 5 | 46.8% to 48.4% | 0.886 to 0.890 |
| t-SNE | Perplexity 30 | 49.3% to 50.6% | 0.904 to 0.913 |
| t-SNE | Perplexity 50 | 47.5% to 48.8% | 0.896 to 0.910 |
Even the most faithful map keeps only about half of each town's ten real nearest neighbours; the other half are strangers placed close by accident of the squashing. t-SNE does a little better than PCA at local neighbourhoods, and scores slightly higher on trustworthiness, a standard check of whether map neighbours are real ones, but its picture changes with the perplexity setting and with the random seed. Across nine t-SNE runs, the five towns drawn nearest to Newtownards changed each time, with Limavady, Saintfield, Randalstown and Killyleagh all appearing, while Ballymena, one of its five true closest matches, never appeared at all. PCA, meanwhile, explains 55.0% and 11.8% of the variation along its two axes, so a third of the information is simply not on the page.
Sort picture cards into piles by two features, then argue about the cards that fit two piles.
Load the NISRA age table in Python and find which towns have the most similar age mix to Newtownards.
Run PCA and t-SNE, measure how many true neighbours survive, and test the effect of perplexity.
Age and population counts are from NISRA Census 2021 tables MS-A01 and MS-A02, used under the Open Government Licence. The shares, projections, maps and scores are our own calculations; NISRA marks some settlement figures as approximations.
Treat a cluster plot as a question to investigate, not an answer.
| In the census project | When AI shows you a map of data |
|---|---|
| About half of true neighbours survived | Closeness on a flat map is only partly real |
| Perplexity changed the picture | Settings shape what you see |
| Seeds reshuffled the nearest towns | Rerun before trusting any single layout |
| Ballymena never appeared near Newtownards | Real similarities can vanish from the plot |
| PCA left a third of the variation off the page | Every projection throws information away |
Language models themselves work with long lists of numbers for every word, and diagrams of those "embedding spaces" usually come from t-SNE or methods like it. Ask an AI assistant to "cluster and visualise" your data and it will often hand back one such picture with a confident story attached. Vibe coding lets the learner describe the analysis while the AI writes the code; our Newtownards learners then rerun it with different settings and check neighbours in the original numbers before telling any story. Agents that summarise data for you need the same checks built in. Agent projects wait until a learner's Python stands on its own, typically sixth-form age or older, and Copilot Studio agents are only taught privately. For where this leads, read agents for students in the UK; for why we teach it this way, understand the code, don't copy-paste.
Figures come from NISRA and postcodes.io open releases; neither body is linked to this page, and the projections and any slip in them are our responsibility.
Your school year gives us a first guess; the free lesson confirms the level.
Sorting, similarity and what a picture hides.
Problem Solving and Computational Thinking for KidsScratch Coding for KidsGames and apps planned by the learner and built with AI help.
Vibe Coding for KidsPython and AI for KidsData, projections and fair tests alongside CCEA GCSE and A level.
AI and Machine Learning for TeensStatistics & ProbabilityVisualisation, machine learning and AI agents in Python.
Python MasterclassGenerative AI Courset-SNE is a method that squeezes data with many numbers per item onto a flat map so that similar items land close together; read it for local neighbourhoods only, because distances between clusters, cluster sizes and the exact layout change with its settings.
Mapping 146 Northern Ireland settlements by their census age profiles, t-SNE kept about half of each town's ten true nearest neighbours, and the towns drawn nearest to Newtownards changed with every perplexity and seed.
Learners who have tested those maps ask of any AI-made cluster plot: was it rerun, and were the neighbours checked in the original data?
A Newtownards teenager who reruns a pretty plot before believing it will not be fooled by an AI-generated one, and that habit starts with writing code. The longer argument is in why teenagers should still learn to code in 2026.
A laptop or PC, a camera and broadband fit for video calls: nothing more is needed.
Learners write the code and draw the charts themselves; tutors, watching over screen share, keep asking what a plot really shows.
Found during the trial, with any CCEA exam on the horizon written into the plan.
We charge nothing for the first lesson and suggest a course at the end.
Five to ten learners from across the UK at the same stage.
Paused through school holidays.
Our tutors follow UK clock changes, so your time stays put.
Why online
Five learners at one level, free on the same evening and close enough to meet, are rare in any one town. Video solves it.
For Newtownards we use the international rate card that covers all countries except India.
A full free lesson, then a recommendation.
About eight live small-group lessons a month.
About eight live one-to-one lessons a month.
No sterling tariff exists: invoices are in US dollars and begin after the trial settles a course and a slot. School breaks, absences and changes of format are set out on the pricing page.
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A school year or age, and one hobby, is all we ask. We may open with a picture-card sorting game, an AI-assisted Scratch build, first steps in Python, or charting real NISRA figures.
Flat maps of big data, NISRA age tables, vibe coding and the logistics of lessons.
NISRA counted 29,677 usual residents in the Newtownards settlement at the 2021 census.
Every lesson is a live video call, so learners aged 6 to 67 in Comber or anywhere in Ards and North Down can join.
A setting that roughly controls how many neighbours each point pays attention to. Small values stress very local structure; larger ones smooth it. In our census maps it changed which towns appeared next to Newtownards.
PCA is a straight projection that keeps the biggest overall spreads in the data; t-SNE bends the space to keep near neighbours together, so it shows local groups better but distorts distances between groups.
Turning NISRA census age profiles for 146 settlements into 2D maps with PCA and t-SNE, and measuring how many real neighbours each map keeps.
From P1 pupils to adult learners: the student sets the goal, the AI drafts code, and the student checks every piece.
When Python needs no support, often sixth form or later; Copilot Studio is one-to-one.
CCEA Digital Technology, Computer Science and Maths are all covered; we build understanding and never promise a grade.
Lesson one free. After it: USD 100 monthly for group places, USD 150 monthly for one-to-one.
They do. Send the school holiday calendar and we skip those weeks.