Five Practices to Improve the Value of Data Science
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Improving <strong>the</strong> <strong>Value</strong> <strong>of</strong> <strong>Data</strong> <strong>Science</strong> | 3<br />
<strong>Data</strong> pr<strong>of</strong>essionals in<br />
different job roles have<br />
different skill sets (see<br />
Figure 1). Not<br />
surprisingly, data<br />
pr<strong>of</strong>essionals who<br />
identified as Developers<br />
reported <strong>the</strong> highest levels<br />
<strong>of</strong> pr<strong>of</strong>iciency in<br />
Technology and<br />
Programming skills<br />
compared <strong>to</strong> <strong>the</strong>ir<br />
counterparts.<br />
Additionally, Researchers<br />
reported <strong>the</strong> highest levels<br />
<strong>of</strong> pr<strong>of</strong>iciency in Statistics<br />
and Math while data<br />
pr<strong>of</strong>essionals who<br />
identified as Business<br />
Management reported <strong>the</strong><br />
highest levels <strong>of</strong><br />
pr<strong>of</strong>iciency in Business.<br />
Finally, data pr<strong>of</strong>essionals who Figure 2. From: <strong>Data</strong> science skills and <strong>the</strong> improbable unicorn<br />
identified as Creative reported<br />
moderate ratings across all skill sets, suggesting <strong>the</strong>y are indeed jack-<strong>of</strong>-all-trades.<br />
Finding a data scientist who is pr<strong>of</strong>icient in all data science skill areas is extremely<br />
difficult (see Figure 2). <strong>Data</strong> pr<strong>of</strong>essionals rarely possess pr<strong>of</strong>iciency in all five skill areas<br />
at <strong>the</strong> level needed <strong>to</strong> be successful at work. In fact, <strong>the</strong> chance <strong>of</strong> finding a data<br />
pr<strong>of</strong>essional with expert skills in all five data science skills is akin <strong>to</strong> finding a unicorn;<br />
<strong>the</strong>y simply don't exist.<br />
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