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When investigating a possible new career
path, one of the most important things to
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consider is its outlook and
potential for growth.
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Predictions about careers related to data
analysis show that there is no shortage of
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need for professionals in this field.
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Over the last decade,
data focused careers have surged.
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According to estimates by Linkedin,
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the data science field grew by
over 650% between 2012 and 2017.
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Many experts believe that we have not yet
seen the full potential of these careers.
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In fact, the US Bureau of Labor Statistics
stated that data science is one of
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the fastest growing career fields in
the United States projecting a 30%
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increase over the next decade.
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Among the data science professions,
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one of the fastest growing is artificial
intelligence and machine learning, and
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we've seen significant advances
in these areas in recent years.
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At its core, artificial intelligence or
AI is the development of computer
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systems able to perform tasks that
normally require human intelligence.
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Thanks to growth in the data sciences,
AI is now becoming more commonplace.
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These technologies will
continue to evolve and
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provide more accurate results and
richer insights.
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And as AI increasingly becomes
an essential component of data work, it's
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important to be aware of the human bias
that can be imprinted within your work.
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To counter this, organizations benefit
most from building diverse teams of
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professionals from different backgrounds
and different life experiences.
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Incorporating a wide
range of perspectives and
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worldviews promotes wider representation
and yields more accurate results.
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As we study the future of the data
professions, I want to emphasize that data
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professionals have yet to realize the full
potential of artificial intelligence.
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As these types of technological
innovations continue to evolve,
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we can expect that
organizations will grow and
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adapt their business
practices accordingly.
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With wider and wider adoption
of data analysis techniques,
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the most likely area for
growth is in specialization.
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And we expect to see further subdivision
of roles within data focused teams.
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Ultimately, what I want you
to keep in mind is this,
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the world is generating more and
more data every year.
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So it's reasonable to expect labor that
extracts business value from it to be
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able to earn its keep.
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More data means more demand for the three
main activities covered by the data
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professions, statistical inference,
machine learning, and data analytics.
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So those skills will stay very relevant
though their names might evolve over time.
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In addition, constant innovation in
the field offers you the opportunity for
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perpetual learning,
growth, and development.
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As you may already know, being a data
professional means that your growth and
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success in this field depend
on a desire to keep learning.
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In fact, that just might be the reason
you enrolled in this program,
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and for that, I'm so proud of you.
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Continue to explore opportunities
to evolve throughout your career,
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be proactive in acquiring new skills, keep
growing, and you will always be ready for
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the future.4731
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