Date that article was published: September 02, 2020
The article explores and breaks down the field of data science. It first delves into the theory of the field and many components that make it up. The article then goes on to present the more practical factors behind data science, as well as what working as a data scientist looks like. It describes how moving forward from now data scientists will play crucial roles in the success of businesses and that hiring the right data scientist is also just as important.
The article included many visuals to accompany its exploration of data science. Here are the most important graphics.
Photo shows the major subject areas that data scientists pull from.
The pillars of the data science field
Photo by Stephen Kolassa shows the overlaps between data science and other fields
## 'data.frame': 32 obs. of 11 variables:
## $ mpg : num 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
## $ cyl : num 6 6 4 6 8 6 8 4 4 6 ...
## $ disp: num 160 160 108 258 360 ...
## $ hp : num 110 110 93 110 175 105 245 62 95 123 ...
## $ drat: num 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...
## $ wt : num 2.62 2.88 2.32 3.21 3.44 ...
## $ qsec: num 16.5 17 18.6 19.4 17 ...
## $ vs : num 0 0 1 1 0 1 0 1 1 1 ...
## $ am : num 1 1 1 0 0 0 0 0 0 0 ...
## $ gear: num 4 4 4 3 3 3 3 4 4 4 ...
## $ carb: num 4 4 1 1 2 1 4 2 2 4 ...
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