Now active in
🇳🇬 Nigeria 🇬🇧 United Kingdom 🇺🇸 United States 🇰🇪 Kenya 🇿🇦 South Africa and 99 other countries
Home Programmes AI Foundations AI for Professionals Experts For Organisations Apply Now Login
AI Foundations Data Analytics
8 weeks · no statistics background needed

Stop guessing. Go and check.

Eight weeks from spreadsheets you half trust to answers you can defend. You learn to turn a vague question into one data can settle, and to build the thing that settles it.

Join the waitlist See the eight weeks
8 weeksTwo halves: ask, then answer
LiveSmall cohort, taught in real time
ZeroStatistics assumed
Fastest growing
Top 5
roles this decade, WEF
You finish with
1 dashboard
on real data
Taught live, never recorded
You leave with a dashboard you built
01What this actually is

Analytics is a question discipline before it is a tools discipline.

Most courses start with software. That is the wrong end. The hard part is turning something a person actually asked into something data can answer, and almost nobody teaches it.

What you get asked
Are we doing well this quarter?

Unanswerable as written. Doing well at what, compared to when, and against what target? Charging at this with a spreadsheet produces a number nobody trusts.

What you learn to ask back
Which of our channels brought paying customers, versus last quarter?

Now it has a subject, a measure and a comparison. This single move is the difference between an analyst and someone who makes charts.

What you build
Referrals: 41 percent of revenue, up from 28.

One number, one comparison, one chart, and a note on what you are not certain about. That last part is what makes people believe the rest.

02Who it is for

If decisions around you get made on instinct, you are in the right place.

You do not need a numbers job. You need to work somewhere questions get asked and answered badly, which is almost everywhere.

This is you

Eight weeks will suit you

  • You already keep things in spreadsheets but are never quite sure the numbers are right.
  • You are asked for figures and would rather hand over something you can defend.
  • You have never studied statistics and would rather not start with a textbook.
  • You can find about five hours a week for eight weeks.
This is not you

Look elsewhere in Foundations

  • You want to build predictive models. Data Science runs sixteen weeks and goes there.
  • You mainly want the reporting to happen without you. AI Automation is six weeks and does exactly that.
  • You already query databases confidently and want depth rather than grounding.
03The eight weeks

Four weeks learning to ask. Four weeks learning to answer.

The split is deliberate. Teach the tools first and people build confident charts of the wrong thing, so the questions come first and the software arrives once you know what you are pointing it at.

Weeks 1 to 4

Learning to ask

Where the numbers come from, what they leave out, and how to sharpen a question until data can settle it.

  • 01
    Where data comes fromHow a number gets recorded, and everything that quietly goes missing on the way.
  • 02
    Sharpening the questionTurning what someone asked into something with a subject, a measure and a comparison.
  • 03
    Cleaning without lyingDuplicates, gaps and outliers, and when removing one crosses from tidying into distorting.
  • 04
    Reading before chartingAverages that hide the story, and why the shape of a distribution matters more than its middle.
Weeks 5 to 8

Learning to answer

The tools, at the point where you know what to point them at. You finish with something you built on real data.

  • 05
    Asking a databaseEnough SQL to get your own answers instead of queuing for someone else's time.
  • 06
    Charts that argueChoosing a form that carries the point, and recognising the ones that mislead by accident.
  • 07
    AI as an analystWhere a model genuinely speeds this up, and where it will invent a confident, wrong answer.
  • 08
    Build and defend itYour dashboard, presented to the group, including what you are not sure about.
04What you leave with

A dashboard on real data, that you can explain line by line.

Not a screenshot from a tutorial. You pick a question in week two, carry it through, and present the answer to the cohort in week eight.

Google Sheets Looker Studio Metabase Claude ChatGPT

All free to use for what the eight weeks require. No paid licence is needed to finish the course.

05Cohorts

When the next one runs.

Cohorts are kept small on purpose. Dates below come straight from our scheduling system, so what you see here is what is actually open.

06FAQ

Questions people
actually ask

Still unsure? Message us on WhatsApp and a human will answer.

Waitlist

Places go to the list first.

Cohorts are small on purpose. When the next Data Analytics intake opens, the waitlist hears before the site does.

Dates, timetable and pricing sent before they go public.
First refusal on seats in the next cohort.
No commitment, and nothing to pay to hold your place.

We only use this to tell you when Data Analytics opens. No newsletter, and you can ask us to remove you at any time.

You are on the list.

We will email you the dates, the timetable and the pricing for the next Data Analytics cohort before any of it goes on the site.

07The rest of Foundations

Eight weeks sits in the middle.

Shorter if you want something running quickly, longer if you want to go past explaining into predicting.