Technology & AI · Data Analytics & BI

PyAnalytics: Code-Driven Insight Lab

Interactive simulation where students make analytical method choices across 5 phases of a business analytics pipeline — data cleaning, EDA, customer segmentation, time series forecasting, and A/B testing — learning that methodology decisions drive insight quality.

5 rounds Executive English, Español
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Who it is for

An advanced simulation for participants used to working with the main frameworks and trade-offs of the subject, designed for executive education and experienced professionals.

How a session runs

  1. The instructor creates a session from the Eureka dashboard and invites the participants.
  2. Participants play 5 rounds. In each one they submit their decisions and the simulation calculates the results.
  3. The simulation can be run in English, Español.
  4. The instructor follows each participant's progress and results from the dashboard, and uses the class results for the debrief.

Decisions participants make

The decisions participants make during the simulation:

  • Method 1
  • Method 2

What participants track

What participants follow on screen as the rounds go by:

  • Phase Briefing
  • Your Analytical Choices

Subjects covered

Designed for courses in Data Analytics & BI.

  • Python / R for Business Analytics

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