Data science developed in tandem with big data but represents a distinct field. In this video, learn how data science relies on the combined skills of computer programming, math, statistics, and domain expertise.
- [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 key. … The internal people already gained experience and ability …
Author
Released
9/19/2019- Identify the components that make up big data.
- Examine how big data has grown over the last few years.
- Explain the importance of using big data in business organizations.
- Distinguish between knowledge requirements for using big data and for understanding data science.
- Justify the need for training on big data within an organization.
- Analyze the factors that go into utilizing big data on a project.
- Differentiate outcomes that are derived from big data from outcomes that are derived from observing behaviors.
Skill Level Beginner
Duration
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Video: The three facets of data science