Big Data & Analytics

B2 · Upper-intermediate1 hr 13 minIT & TechnologyLesson 8 of 8 · Outline

Aims

Goal: make a data-backed recommendation — describe the trend, hedge the interpretation, recommend an action and admit the limits before anyone else finds them.

The lesson, stage by stage

  1. Warm up5 min

    Warm-up: Argue from the data

    2 warm-up questions

  1. Reading10 min

    Reading: From numbers to an argument

    Read a 218-word text about From numbers to an argument

  2. Vocabulary8 min

    Vocabulary: Big Data Vocabulary

    7 items

  3. Framework6 min

    Framework: The Analytics Ladder

    Describe – Suggest – Recommend – Admit, 4 steps

  4. Reading10 min

    Reading: Three model arguments

    Read a 346-word text about Three model arguments

  5. Practice7 min

    Practice: Big Data Concepts

    Gap-fill exercise, 5 items

  6. Practice7 min

    Practice: Fix the Big Data Statements

    Error-correction exercise, 5 items

  7. Dialogue10 min

    Dialogue: Discussing a Data Strategy

    Role-play: You're explaining your team's big data strategy to a new stakeholder (6 lines)

  8. Discussion10 min

    Discussion: Make your data-backed case

    3 discussion questions

Open the full lesson

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Target vocabulary

In a Tuton account these words become your student's vocabulary deck, so they come back in practice between lessons.

big dataanalyticsdata lakereal-timestructured dataunstructured datapipeline

This plan comes from the AI & Data Topics course in the Tuton library. Browse all free lesson plans.