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Program

Data Science

Fourteen weeks turning messy real-world data into decisions people act on. Heavy emphasis on the two things junior analysts are usually missing: statistical judgement about what the data can and cannot support, and the communication skill to make a finding land with a room that did not commission it.

  • 14 weeks
  • Intermediate
  • On-site in Ibadan
  • Cohort capped at 24
Apply to this trackSee the curriculum

What you will actually do

Fourteen weeks turning messy real-world data into decisions people act on. Heavy emphasis on the two things junior analysts are usually missing: statistical judgement about what the data can and cannot support, and the communication skill to make a finding land with a room that did not commission it.

Duration
14 weeks
Level
Intermediate
Prerequisites
Secondary-school mathematics and comfort with spreadsheets.
Schedule
Full-time, Monday–Friday, 9am–4pm at Akala Expressway, Ibadan.
Tuition
Upfront, three-part instalments, or an income-share agreement.

Curriculum

Module by module.

Taught in this order because each block depends on the one before it. Nothing is presented as magic you are expected to accept.

  1. Python for analysis

    The language, then NumPy and Pandas — enough fluency that tooling stops being the obstacle.

  2. SQL and data wrangling

    Joins, window functions and the unglamorous cleaning work that is most of the job.

  3. Statistics that matter

    Distributions, inference, confidence and the failure modes — p-hacking, survivorship bias, confounding — that produce confident wrong answers.

  4. Modelling

    Regression, classification and clustering, with honest evaluation and a bias toward the simplest model that works.

  5. Visualisation and storytelling

    Chart design that clarifies rather than decorates, and structuring an analysis so a decision-maker reaches your conclusion.

  6. Capstone and career

    An end-to-end analysis on real data, presented to a live audience, plus interview preparation.

Outcomes

What you can do afterwards.

Capabilities, not certificates. Each of these is something you will have done under review before you graduate.

  • Extract and clean data from real sources
  • Choose and defend an appropriate model
  • Quantify uncertainty honestly
  • Build a dashboard people actually use
  • Present findings to non-technical stakeholders

Roles this feeds into

  • Data Analyst
  • Data Scientist
  • Business Intelligence Analyst

92% of graduates are placed within six months, with job support continuing until you sign an offer.

Apply

Apply to Data Science

No application fee and no degree required. We reply within five working days.

Include the country code, e.g. +234.

There is no wrong answer — it only tells us where to start you.

A short paragraph is plenty. We read every one.

No application fee. We reply within five working days.