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Data Analytics

Work the evidence an analyst works, then get scored on the call you make from it.

What it is

Data Analytics is the reading half of investing. Every set hands you realistic evidence: a news excerpt, one or two charts, a data table, or financials, and then asks you what it means. The companies, outlets and figures are invented for practice. Some questions are multiple choice with an explanation. Others are written response, with a sample answer to compare yours against.

The sets run across four levels. Professional is genuinely hard: multi-factor analysis where no single answer is obviously right and the reasoning is the point.

Then there are Quick Calls, which close the loop. A scenario gives you news, data, and two companies, and you split a budget between them with the rest staying in cash. Each company's move in the scenario drives your return, and you are scored on how well you allocated against the best possible split. It is deliberately not a quiz: it measures the size of your conviction as well as its direction.

What is inside

Analysis sets across four levels

Easy, Medium, Hard, and Professional, sourced from charts, data tables, news, and financial statements.

  • Multiple choice and written response

    Multiple choice with explanations for the mechanics, written response with a sample answer for the reasoning judges actually read.

  • Quick Calls

    Two invented companies, one budget, and an outcome for each. You are scored against the best possible allocation, so being right and being sure are measured separately.

  • Evidence, not summaries

    Each set gives you the underlying material rather than a paragraph telling you what to conclude, because interpreting it is the skill being trained.

How to use it

The order that gets the most out of this area.

  1. Answer before you scroll

    Form a view from the evidence first. Reading the explanation before committing feels productive and teaches nothing.

  2. Write the written responses out

    Thinking it through in your head is not the same exercise. Compare what you wrote against the sample and note what it included that you skipped.

  3. Size your allocation honestly

    In Quick Calls, a small position on a strong conviction scores poorly for a reason. Confidence you will not back is not a view.

  4. Move up when Hard stops surprising you

    Professional sets have no clean answer, which is what makes them the right preparation for a judge's follow-up question.

The rest of the Academy

Back to the Academy home

Data Analytics opens with membership

A free account opens the study samplers, the first AP practice papers and the simulator's orientation run, so you can look around first. One membership opens every area of the Academy, not just this one. Join through your chapter or sign up on your own.

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