Foundation Flagship Programme

Business Analytics Essentials

Build a practical foundation for turning business questions and data into evidence, insight and better decisions.

Enquire About This Course Explore the Academy

Course overview

Establish a connected foundation for professional business analytics.

Business Analytics Essentials develops the practical thinking required to move from a business question to trustworthy evidence, analytical insight and a defensible recommendation.

Participants work through an integrated business case and explore descriptive, diagnostic, predictive and prescriptive analytics while learning how data quality, assumptions, uncertainty, visual communication and decision context affect the usefulness of analysis.

The course emphasises analytical judgement and workplace application rather than tool-specific button clicking, making it relevant across functions and technology environments.

Learning outcomes

What participants will be able to do.

  • Explain the role of business analytics in evidence-based decision-making.
  • Translate business situations into clear analytical questions and success measures.
  • Distinguish descriptive, diagnostic, predictive and prescriptive analytics.
  • Assess data sources, data quality and analytical assumptions.
  • Apply core statistical and analytical reasoning to business evidence.
  • Interpret analytical results without overstating certainty or causality.
  • Communicate findings through concise visuals, narratives and recommendations.
  • Prepare a practical analytics approach for a workplace decision.

Who should attend

Designed for professionals who use data, analysis or evidence to improve decisions.

  • Managers and team leaders who use data to make decisions.
  • Business, financial, operational and performance analysts.
  • Business analysts moving into data-enabled analysis.
  • Project, programme and transformation professionals using analytical evidence.
  • Professionals beginning or consolidating business analytics practice.

Prerequisites

Professionally relevant and application-focused.

No formal analytics qualification is required. Basic spreadsheet familiarity is useful. Participants should be prepared to work with a realistic dataset and business case.

Course structure

A five-Module journey from analytical understanding to workplace application.

The sequence may be delivered across five days or adapted to another approved format while preserving the learning outcomes and the five connected Modules.

1

Module 1

Business Questions, Analytics and Decision Context

  • Business analytics and the decision lifecycle
  • Business problems, opportunities and research questions
  • Measures, KPIs and analytical success criteria
  • Descriptive, diagnostic, predictive and prescriptive analytics
2

Module 2

Data Foundations and Descriptive Analytics

  • Data sources, structures and measurement
  • Data quality, profiling and preparation
  • Descriptive statistics and distributions
  • Summarising business performance and variation
3

Module 3

Diagnostic Analysis and Analytical Reasoning

  • Segmentation, comparison and root-cause questions
  • Relationships, correlation and causality awareness
  • Sampling, bias and uncertainty
  • Testing explanations against evidence
4

Module 4

Prediction, Scenarios and Decision Support

  • Forecasting and predictive thinking
  • Scenario analysis and sensitivity
  • Prescriptive reasoning and trade-offs
  • Assumptions, limitations and model risk
5

Module 5

Insight Communication, Governance and Application

  • Visualisation and analytical storytelling
  • Recommendations, decisions and stakeholder challenge
  • Ethics, privacy and responsible analytics
  • Integrated case review and workplace application plan

Learning experience

Move from understanding to application, production and workplace value.

Understand

Connect concepts with business decisions

Clarify methods, assumptions, evidence requirements and the decision context before applying tools.

Apply

Work through realistic analytical cases

Use datasets, scenarios and decision questions to practise analytical judgement in context.

Produce

Create practical analytical outputs

Develop artefacts that can be adapted to reporting, modelling, governance or decision-support work.

Review

Challenge evidence and analytical choices

Use peer review, validation criteria and facilitated critique to improve analytical reasoning.

Transfer

Apply the learning at work

Identify how to adapt the methods to organisational data, decisions, systems and governance requirements.

Completion requirements

Demonstrate participation, application and professional judgement.

  • Participate actively in case discussions, data exercises and analytical workshops.
  • Complete the principal analytical or decision-support outputs assigned during the programme.
  • Contribute to the integrated case, model, dashboard or application workshop.
  • Complete knowledge checks and a workplace application or study plan.

Participant outputs

Leave with practical analytical artefacts.

  • Business analytics question canvas.
  • Data-source and quality assessment.
  • Descriptive and diagnostic analysis summary.
  • Prediction/scenario decision worksheet.
  • Insight storyboard and recommendation brief.
  • Personal workplace application plan.

Delivery options

Select the learning format that fits your people and analytical environment.

Instructor-led

Live Classroom

Facilitated face-to-face learning with analytical cases, datasets, modelling tasks, discussion and immediate feedback.

Instructor-led

Live Virtual Classroom

Interactive online delivery using collaborative workspaces, data exercises, breakout analysis and guided model development.

Flexible

Blended Learning

A structured combination of preparation, live facilitation, applied assignments, analytical work and follow-up application.

Organisation-specific

Corporate and In-Company

Tailored delivery aligned with organisational datasets, measures, tools, governance, decisions and analytics maturity where appropriate.

Frequently asked questions

Course information and participation.

Do I need previous analytics experience?

No. The course is designed as a professional foundation. Familiarity with spreadsheets and business data is helpful but not essential.

Is the course tied to one analytics software product?

No. The emphasis is on transferable analytical thinking and decision practice. Demonstrations or exercises may use suitable tools according to delivery context.

Will participants work with data?

Yes. Participants use realistic datasets and business questions to practise analysis, interpretation and communication.

Can the course be customised for our organisation?

Yes. Corporate delivery can use organisation-specific datasets, KPIs, decisions, terminology and analytical challenges where appropriate.

Does completion provide a professional certification?

The course develops practical business analytics capability and may provide an INDENTRA course-completion record where applicable. It is not a third-party professional certification unless separately stated.

Take the next step

Build a reliable foundation for analytics-driven decisions.

Discuss public delivery, a private cohort or a tailored programme aligned with your organisation’s data, decisions and analytics capability priorities.

Enquire About This Course View All Academy Courses