“Data science is coming to conclusions that drive your data forward,” says Adam Hunt, CTO at RiskIQ. “If you’re not solving a problem with data, if you’re just doing an investigation, that’s just analysis. If you’re actually going to use the outcome to explain something, you’re going from analysis to science. Data science has more to do with the actual problem-solving than looking at, examining, and plotting [data].”
The difference between data analytics and data science is also one of timescale. Data analytics describes the current state of reality, whereas data science uses that data to predict and/or understand the future…
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