All language subtitles for 02_what-data-professionals-do.en

Earlier, I referenced
the tremendous amount

of data generated each day.

It has become a byproduct
of modern life.

For companies and organizations,

all this data can provide
insight into the ways they

operate and ultimately interact

with their users and consumers.

To obtain these insights,

organizations need people
with the ability to access,

interpret, and share the
stories within their data.

Organizations understand
that data can inform

decision-making and

explain consumer trends
and user behavior.

Data professionals
use data insights

to optimize products
or services.

There's a common phrase and

data-driven decision-making that

references the untapped
potential of data.

The phrase is, "Imagine
if we knew what we know."

Basically, it's a way of
asking the following question.

How can we take all that
data that may already exist

and translate it into meaningful
and actionable insights?

To gain insights,
businesses rely

on data professionals
to acquire,

organize, and interpret data,

which helps inform internal
projects and processes.

Businesses seek
those who can access

data and understand its metrics.

As a reminder,
metrics are methods

and criteria used
to evaluate data,

both are necessary before
creating predictive models that

can identify trends and
inform best practices.

That's where you'll come in.

The combination of all these
skills from statistics and

scientific methods
to data analysis

and artificial intelligence,

all fall within the
category of data science.

Data science is the discipline
of making data useful.

To me, the idea of usefulness is

tightly coupled with
influencing real-world actions.

Some individuals with these
skills may work on developing

business insights and

supporting strategic
decision-makers.

Others may use data skills
to fuel automation,

testing, and analytic
tool development.

Still others may focus on the
analytic process itself by

adapting modeling approaches to

incorporate new and
emerging technologies.

Data is the foundation for
making future decisions.

It's through our actions and

decisions that we affect
the world around us.

Businesses and
organizations need people

like you who can
think critically and

analytically about how
to directly address

challenges and opportunities
through data focused projects.

The work of data professionals

can provide businesses
and organizations

with details about
their practices

that can promote new
approaches and innovation.

This might make a
little more sense if

we take a closer
look at an example,

a global delivery
company, for instance.

Generally speaking,
delivery companies are

responsible for transporting
goods to consumers.

A company as complex as this
is going to have a number

of different data inputs
of streams that influence,

impact, and affect the ways
the business operates.

These data inputs
and streams may

include but are not limited to

weather and traffic
patterns which

affect when deliveries
are predicted to arrive.

Gas price trends
and fuel economy,

which affect shipping
costs and profit margins.

Truck loading times in

relation to the number
of workers available,

which affects the
time it takes for

the delivery to reach
its final destination.

How users interact with

the company's app to
track their packages,

which affects the
customer experience

and the company's ratings.

Whether users engage with

marketing emails sent after
they make specific purchases,

which impacts future
and repeat sales.

My point is, each of
these variables affects

the way organizations harness

data to transform decisions,

automating and adapting

machine-learning
where applicable.

The ability to unlock
transformative information

within data is a skill
that businesses seek.

As you progress
within this program,

you'll discover how
data professionals

can make meaningful
contributions to

almost any organization by

finding action oriented
solutions within data.