Learning the essence of data science
through a world built for exploration.

Data science education often lacks the kinds of experiences it truly requires.

Observing phenomena, interpreting data, analyzing it, generating ideas,

testing those ideas, and examining the results—

this full sequence of experience has become difficult to obtain in real environments.

• Opportunities to observe are limited,

• the data available is often biased,

• and attempting interventions is rarely feasible.

As a result, learners may encounter fragments of knowledge,

but struggle to experience and connect the entire flow of thinking.