English for Special Purposes

Data Analytics and Business Intelligence English

A data analytics and BI English curriculum for metric definitions, dashboards, data quality, stakeholder requests, causation, experimentation, governance, and insight presentation.

  • 8 modules
  • 32 field terms
  • Interactive practice

Printable Curriculum

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Web Practice Lab

Rehearse the language, response, and decision

Work through a three-step sequence: identify the field language, choose the strongest response, then select the next controlled decision move.

Module Focus

    Guided Decision Lab

    Jargon Flashcard

    Answer Rationale

    Why the strongest phrase fits

    Choose an option to see the workplace rationale.

      Dialogue Coach

      Model line

      Language notes

        Progress

        Practice checklist

        0 of 4 complete

        Student PDF in Web Form

        Module map

        Open Participant Workbook PDF
        1

        Metric Definitions and Business Questions

        Clarify what a number means before reporting it.

        metric, business definition, source of truth, owner

        2

        Data Quality and Trust

        Discuss data problems without undermining the whole analysis.

        data quality, freshness, completeness, pipeline

        3

        Dashboards and Executive Reporting

        Design dashboards around decisions, not decoration.

        dashboard, KPI, threshold, drill-down

        4

        Causation, Correlation, and Caveats

        Prevent overinterpretation of patterns.

        correlation, causation, confounder, selection bias

        5

        SQL, Models, and Transformation Logic

        Explain technical logic to nontechnical partners.

        SQL, data model, grain, join logic

        6

        Experiment Readouts and Statistical Thinking

        Present test results with practical and statistical context.

        sample size, effect size, confidence interval, guardrail

        7

        Data Governance and Privacy

        Set data-use boundaries professionally.

        data governance, privacy, access control, retention

        8

        Insight Storytelling and Recommendations

        Move from analysis to action without overstating certainty.

        insight, recommendation, assumption, next best action

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