Since graduating with an Econ bachelor's degree 10 years ago I've seen 'data science' became a buzzword but it seems to have tons of overlap with econometrics.

It seems like if I had graduated 5 years later, my econometrics class would have been called 'data science'... right? What I remember about econometrics is that it's all about doing:

>>regressions
and finding ways to handle different variations of regressions like multivariate regressions, transforming polynomial/exponential/etc datasets to become linear or handling dummy variables, probit, logit, spatial regressions, etc.
>>interpreting the #s
what are the p value, statistical significance, t tests, etc.
>>null hypothesis
and other shenanigans

From what I can tell that's basically all data science is?

Anyone care to elucidate?