July 2016
Beginner to intermediate
462 pages
9h 14m
English
You probably have seen Venn diagrams depicting data science as the intersection of mathematics/statistics, computer science, and domain expertise. Data analysis is timeless and was there before data science and even before computer science. You could do data analysis with a pen and paper and, in more modern times, with a pocket calculator.
Data analysis has many aspects, with goals such as making decisions or coming up with new hypotheses and questions. The hype, status, and financial rewards surrounding data science and big data remind me of the time when datawarehousing and business intelligence were the buzz words. The ultimate goal of business intelligence and datawarehousing was ...
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