From the course: Big Data in the Age of AI
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The three facets of data science
From the course: Big Data in the Age of AI
The three facets of data science
- [Instructor] Elsewhere in this course, I've introduced you to the three V's of big data. Those are volume and velocity and variety. And when you put those together, you have big data. But you may be familiar with another three-part Venn diagram this time serving as the tripartite definition of data science that involves hacking skills and math and statistics and substantive expertise and that together constitutes data science. And this model was created in 2013 by Drew Conway. Now if you want to use shorter names for each of these, you can call them code and quant and context. By the way, most people have an intuitive feel for why coding and quantitative skills are important to data science, but context or domain expertise might need a little bit of explanation. And I like this quote about why context expertise matters. Organizations already have people who know their own data better than mystical data scientists and this is a…
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