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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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