Business

Business Analyst

Structured training in analyzing processes and data to support real business decisions, without requiring a technical background to start.

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
£500
Canada
$1,250

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.

01Business Analysis Foundations

12 hours

The role, and how value is defined

  • BABOK knowledge areas & the BA role
  • Stakeholder identification & RACI
  • Business case & benefits realisation
  • SWOT, PESTLE & root cause analysis
  • Enterprise & operating model basics
  • Communication & facilitation skills

02Requirements Engineering

15 hours

Elicit, model and manage requirements

  • Interview, workshop & observation techniques
  • BPMN process modelling
  • Use cases & user stories with INVEST
  • Functional & non-functional requirements
  • Prototyping & wireframing
  • Backlog management & prioritisation with MoSCoW

03Data Analysis for Business

10 hours

Support decisions with evidence

  • SQL for analysis & validation
  • Excel modelling & Power Query
  • Power BI dashboards & DAX basics
  • Descriptive statistics for reporting
  • Metric definition & data quality
  • Presenting findings to executives

04Delivery & Change

13 hours

See it through to adoption

  • Agile & Scrum in practice
  • JIRA & Confluence workflows
  • UAT planning & defect management
  • Change management & training
  • Post-implementation review
  • A capstone requirements package

Projects

Five projects, in Business 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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