The individual initially focused on economics as a means to understand business strategy but later switched to data science and AI during their freshman year of college.
Enrolled in an introductory data class that focused on how data can be misleading and the impact of misrepresentations on the real world.
Encountered concepts like bias vs. variance, correlation vs. causation, and the influence of data collection and statistical analysis on information interpretation.
The shift from economics to data science was driven by a newfound understanding of the importance of accurate data representation and analysis.