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…
Solve 6 business mysteries of increasing SQL complexity against a fictional e-commerce database. Practice translating business questions into query strategies using JOINs, aggregation, window functions, CTEs, and anomaly detection.
An intermediate simulation for participants who already know the core concepts of the subject, designed for master's and MBA programmes.
The decisions participants make during the simulation:
What participants follow on screen as the rounds go by:
Designed for courses in Data Analytics & BI.
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