SPEAKER: So you want to
become a data scientist.
Well, great choice.
As one of the hottest
careers in technology,
there's plenty of opportunity for
people who are qualified for these jobs.
But employers know that it takes
functional knowledge, technical skills,
and real world experience
to be successful.
So how do you get a shot at
one of these coveted careers?
Well that's where Microsoft comes in.
The data science
curriculum for Microsoft
was designed and reviewed with companies
looking to hire data scientists.
These employers
identified a set of skills
that are absolutely
necessary for someone
wanting to become a data scientist.
As we designed this curriculum,
it helped to think of these skills
as being like stops on a subway map.
As you follow the map along
to the end of the line,
each stop represents a
set of skills that you're
going to have to learn in order to be
competent in various aspects of data
science.
For each of the stops, we
have one or more courses
that you can choose to take.
And when you take the courses,
they are lectures that are
delivered by experts in their field.
In addition to the lecture, there's
hands-on components to the courses--
labs that let you get a chance
to try out the technology
and techniques for yourself.
And there are also assessments, as you
validate the skills as you learn them
and complete the courses.
You can take multiple
courses in parallel.
And if you need help, TAs in the
community are just a click away.
Now the final stop on the subway
map is slightly different.
Rather than a course, it's
a professional project.
It's your chance to put it
into practice all of the skills
that you've learned as you've
come along the subway map.
You will use real world data
sets to perform a project,
produce something that
can then be graded,
and it can be part of your portfolio
that you can take to future employers
to show what you've learned.
