Stats for Data Science, from the Ground Up

Data scientists love debating which skills are essential for success in the field. It makes sense: in a rapidly changing ecosystem that adopts new and powerful technologies all the time, job requirements and toolkits never stop evolving.

Statistics seem to be one major outlier, though. Data professionals of all stripes seem to agree that a solid foundation in stats and math will make your life easier regardless of your role, and can open up opportunities that would otherwise remain beyond …

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