In our line, probability and statistics are the chai and sugar of data work—showing us patterns and certainties from customer trends. Stochastic processes I met later; they’re for modelling things that unfold over time, like predicting monsoon arrival or queue lengths. But in the real swalpa data jobs here, it’s the basics of stats that put food on the table, not the fancy maths.
I see this every day in my online courses, where they teach advanced theories, but my first analyst job came from just knowing how to clean data and run a solid regression—the rest was chamak for the resume.
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