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Data professionals are so
valuable to their companies.
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They determine which data streams are most
important to specific business projects,
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challenges and initiatives.
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They identify key goals for the future and
they give their organizations the ability
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to take meaningful action by reimagining
processes and improving operations.
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To do all of this data teams require
individuals with diverse skills,
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knowledge and interests.
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Therefore there are countless different
data focused roles, responsibilities and
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project types which are further
differentiated by the industries and
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businesses they support.
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Among all of these possibilities,
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data careers can be loosely categorized
into two complementary types of work:
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technical and strategic. In this
video we will investigate both.
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First let's find out about the folks
whose work requires a heavy emphasis on
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technical skills.
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Some examples of these professionals
are machine learning engineers and
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statisticians.
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These people provide high effort
solutions to specific problems.
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Through their expertise in mathematics,
statistics and computing,
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they build models and make predictions.
Using tools such as R and python,
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they help their teams extract
value from business data sets.
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The result is a solution that
has a direct positive impact.
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Another highly technical role is the
expert data analyst whose work involves
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exploring vast and complex datasets to identify
directions worth pursuing in the first place.
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They ensure that an organization's
data science efforts
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are directed as efficiently as possible,
bridging the gap between other technical
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data professionals and
the strategic work we'll cover shortly.
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Like most technical data professionals,
you'll learn how to acquire scale,
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organize structure and manipulate data so
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that it's packaged in a way
that others can work with.
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In other words,
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you'll know how to transform raw data into
something useful for decision making.
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Okay, now let's consider
data professionals
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on the more strategic side.
These people include business intelligence
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professionals and technical
project managers to name a couple.
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Strategic data professionals use their
skills to interpret information that
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affects an organization's operations,
finance research and development and so
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much more.
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Their work aligns closely to
the overall business strategy and
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involves seeking solutions to
problems through data analytics.
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In short,
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strategic data professionals maximize
information to guide how a business works.
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Sometimes you'll find a company has
roles that blend specialist technical
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knowledge with strategic data expertise,
often in unusual and very creative ways.
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Soon we'll learn more about some of
these opportunities as well as the more
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specialized technical and strategic roles.
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And of course we'll discover some
proven ways to tap into them as a data
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professional.
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Lots more to come.4521
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