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Which Data Skills Do You Actually Need? This 2×2 Matrix Will Tell You.

Harvard Business Review

“Utility” is how much you’re likely to need the skill, a proxy for the value it adds to the corporation, and your own career prospects. We longlisted skills associated with roles such as: business analyst, data analyst, data scientist, machine learning engineer, or growth hacker. Sponsored by Splunk.

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What Data Scientists Really Do, According to 35 Data Scientists

Harvard Business Review

While there is no well-defined career path for data scientists, and little support for junior data scientists, we are starting to see some forms of specialization. New techniques come and go, but critical thinking and quantitative, domain-specific skills will remain in demand. Specialization is becoming more important.

Ethics 8
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Artificial Intelligence Is Almost Ready for Business

Harvard Business Review

AI, expert systems, and business intelligence have been with us for decades, but this time the reality almost matches the rhetoric, driven by the exponential growth in technology capabilities (e.g., Moore’s Law ), smarter analytics engines, and the surge in data. But it seems we’re now at an actual tipping point.

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What Great Data Analysts Do — and Why Every Organization Needs Them

Harvard Business Review

If your primary skill is analytics (or data-mining or business intelligence), chances are that your self-confidence has taken a beating as machine learning and statistics have become prized within companies, the job market, and the media. Engineering excellence is a must. What about analysts? Analytics as a second-class citizen.