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Data Analytics & AI for Business

Less about building dashboards, more about reading them. The strategic counterpart to Power BI — for the people setting the questions, not answering them.

Free after redundancy in Wales with Welsh Government ReAct+ funding

Check if you qualify Download course info (PDF)
5 daysAbout 40 hours, 9am to 5pm
IntermediateLevel
Maesteg or onlineLlynfi Enterprise Centre or live online
£0With ReAct+ funding

What you'll learn on the Data Analytics for Business course.

Organisations that use data to make decisions consistently outperform those that don't. But most managers have never been taught how to actually interpret data, set KPIs, or use AI for forecasting.

This isn't a technical course — it's a strategic one. You'll learn to think in data, set the right questions, interpret analytics, and use AI to forecast outcomes.

If you manage people, run a business, or make decisions that affect revenue or operations, this course changes how you work.

40hIntensive training
5Hands-on labs
3Portfolio deliverables
1:6Tutor ratio max

Five days, one step at a time.

Mornings are taught sessions. Afternoons are hands-on labs where you build something real.

  1. Day 1

    Data Literacy Foundations

    What data literacy actually means for leaders — moving beyond gut instinct to evidence-based decision making.

    • Data literacy for decision makers
    • Types of analytics (descriptive to prescriptive)
    • Statistical thinking without stats
    • Data quality & bias
    • Welsh data landscape
    • Building data-informed teams

    LabAudit your current decision-making process for data gaps

  2. Day 2

    Business Intelligence Strategy

    Setting up the questions, metrics and frameworks that turn raw data into competitive advantage.

    • KPI frameworks & OKRs
    • Balanced scorecard approach
    • Data strategy templates
    • Competitor benchmarking
    • Market analysis basics
    • BI tool landscape overview

    LabDesign a KPI framework for a Welsh business case study

  3. Day 3

    Predictive Analytics & Forecasting

    Looking forward, not backward. Regression, time series, and the AI forecasting tools available without coding.

    • Predictive vs descriptive analytics
    • Regression concepts for managers
    • Time series forecasting
    • AI forecasting tools (no code)
    • Scenario planning
    • Risk & uncertainty

    LabBuild a sales forecast using AI-powered analytics tools

  4. Day 4

    Customer & Operational Analytics

    The specific analytics that drive revenue and efficiency — customer segmentation, churn, operational KPIs.

    • Customer segmentation
    • Churn analysis & retention
    • Lifetime value calculation
    • Operational efficiency metrics
    • Supply chain analytics basics
    • A/B testing fundamentals

    LabSegment customers and identify retention opportunities

  5. Day 5

    Building a Data Culture

    The hardest part isn't the tools — it's getting the organisation to actually use data. Change management for analytics.

    • Data culture assessment
    • Storytelling with data
    • Presenting to senior leaders
    • Data governance for managers
    • AI decision support systems
    • Your personal data strategy

    CapstonePresent a data strategy and business case for investment

Business data dashboard used on the free Data Analytics and AI for Business course

Three real projects for your CV.

You leave with work you can show an employer, not just a certificate.

  • Data Strategy for Your Business

    A complete data strategy document — priorities, tools, governance, and a roadmap for building a data-informed culture.

  • Predictive Forecast

    A working AI-powered forecast for your business or sector — the kind of analysis that impresses in board rooms.

  • KPI Framework

    A documented KPI framework with OKRs, measurement plan, and dashboard specification ready for implementation.

Is this course right for you?

Best for: Managers, SMEs, analysts, entrepreneurs.

This is for you if…

  • Managers who make decisions based on instinct and want data
  • SME owners who know their data is underused
  • Analysts who want to move into strategic advisory roles
  • Entrepreneurs planning fundraising or growth
  • Anyone who reads reports but wants to read them better

It's probably not for you if…

  • You want hands-on technical Power BI or SQL training (try our Power BI course)
  • You're already a data scientist or analytics director
  • You want purely academic statistics training
  • You need real-time coding or development skills

Your next chapter starts a week on Monday.

Five days is all it takes. Check you qualify, then reserve your place on the next Data Analytics for Business course.

Reserve my place Check if you qualify