AI

AI Data Analyst

Structured training in using AI-assisted tools and machine learning fundamentals to extract insight from data — an AI-forward track for analyst-minded learners.

50
hours of live training
10 weeks
at one hour a day, weekdays
4
modules
24
topics covered

Before you start

Beginner-friendly. If you are not sure whether that describes you, the consultation exists to answer exactly that — and to tell you if a different programme is the better start.

Price

United Kingdom
£750
Canada
$1,750

Tax included — the price shown is the price you pay. This covers the training stage. The bootcamp and placement stages are priced separately.

Curriculum

A module-by-module breakdown

Everything covered in the program, in the order you'll cover it.

01Analysis Foundations

12 hours

The classical analyst toolkit

  • SQL joins, aggregation & window functions
  • pandas for cleaning & reshaping
  • Descriptive statistics & distributions
  • Power BI & Tableau dashboards
  • Metric definition & documentation
  • Reproducible analysis workflow

02Predictive Analytics

13 hours

Move from what happened to what will

  • Regression & classification with scikit-learn
  • Time series forecasting
  • Segmentation & clustering
  • Feature engineering for tabular data
  • Model evaluation for business use
  • Communicating uncertainty honestly

03LLMs in the Analyst Workflow

12 hours

Use generative tools without losing rigour

  • Natural-language querying over warehouses
  • Text classification & sentiment at scale
  • Summarising qualitative feedback
  • Embeddings for thematic clustering
  • Prompting for analysis, with verification
  • Where LLM output must not be trusted

04Automation & Delivery

13 hours

Stop doing the same report twice

  • Scheduled pipelines & refreshes
  • Python scripting for repeat analyses
  • dbt transformations & testing
  • Alerting on metric anomalies
  • Storytelling & executive presentation
  • A capstone analysis with an automated pipeline

Projects

Five projects, in AI Data Analyst

The bootcamp runs the same five stages whatever you enrolled in, so the portfolio you finish with is deep in one technology rather than shallow across several. Each is scoped, designed, built and reviewed.

  1. 01 · Foundations

    A first build that puts the core concepts to work — environments configured, the basic workflows exercised, the fundamentals proven rather than assumed.

  2. 02 · Multiple moving parts

    A larger solution with several components and an integration or two, applying the practices that are conventional in your stack rather than improvising.

  3. 03 · Architecture that scales

    A design-led build: scalability, monitoring and the production-grade patterns your field actually uses, decided before they are implemented.

  4. 04 · An enterprise scenario

    A realistic situation with services that depend on each other, security to harden and performance to tune — the kind of work that is waiting on the other side of the offer.

  5. 05 · Capstone

    End to end, everything together: planned, designed, built, deployed and documented well enough to sit at the top of your GitHub profile.

What's included

Everything in the programme

The same seven things in every programme on the site — the subject is what changes.

  • Live training

    Taught live by a practitioner, not pre-recorded video you work through alone.

  • 50 hours

    Per programme as standard — 60 for IT Support Analyst, 70 for the AI Consultant and cloud engineering tracks.

  • Projects

    Five briefs in your own stack, each scoped, designed, built and reviewed the way a delivery team would.

  • Mentoring

    One mentor who stays with you for the whole programme, rather than whoever is free that week.

  • Resume & LinkedIn

    Both rewritten around the work you actually built, and positioned for the roles you are targeting.

  • Interview prep

    Mock interviews on the technical and the competency side, including defending the projects you built.

  • Placement support

    Your profile put in front of employers, and the search continues until you are hired.

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