[Background Music]
My name is Geoff Parker.
I'm a professor of engineering
at the Thayer School
at Dartmouth College.
I also serve as the
director of the Master
of Engineering Management
Program.
I teach a highly subscribed
course on data science
that includes business,
engineering,
and healthcare analytics
students.
So why data science?
If you look at the economy, it's
becoming evermore data centric.
There's an explosion of
information being gathered all
around the world and in every
type of process you can imagine.
Whether it is smart grids,
predictive marketing,
automated factories,
algorithmic trading,
automation using
machine learning,
sensor data that is analyzed to
create the Internet of Things,
healthcare that is
being analyzed
to create new therapies.
Practically every
industry, every company,
and every professional is now
using data to make decisions.
Because of the dramatic growth
in available data, now measured
in tens of trillions
of gigabytes,
there is a corresponding
growth in the demand for those
who can turn that data
into useful information.
According to the Bureau
of Labor Statistics,
data science jobs are expected
to grow almost three times
as fast as other job
categories in the coming years.
So why this course?
This online course is based on
the same curriculum that I teach
to my graduate students
at Dartmouth.
Many of whom go on to
work in data science roles
at leading companies
such as Apple, Google,
Facebook, Amazon, and McKinsey.
The course curriculum is shaped
by what these companies tell
us are the skills they value
in data science professionals.
Many of whom are
now our graduates.
My hope is that from this online
course you too will learn the
key concepts to accelerate
your journey
of becoming a successful
data scientist,
whatever your industry
or field of work may be.
First, this course will prepare
you for a career in data science
by giving you a hands-on,
practical learning
experience in data science.
Along with video lectures
and coding demonstrations,
you will be working on
coding-based assignments,
exercises, and a final project.
Second, you will
participate in live sessions
with data science mentors.
These mentors will guide you
through key programming
assignments,
analysis of data sets, and
provide valuable feedback
as you hone your
data science toolkit.
Third, you will gain
valuable career guidance
on interview preparation,
networking,
crafting a strong
LinkedIn profile,
and increasing your visibility
to potential employers.
You will also be able to
learn from and network
with your colleagues through
peer-to-peer interactions
and discussions.
Fourth, by the end of this
course, you will be well
on your way to creating
a data science portfolio
that demonstrates the
skills you develop
in the course to
future employers.
You will also have
opportunities to start engaging
with data science communities,
such as Stack Overflow,
that will help you to continue
your learning journey while
developing credibility over
time in critical content areas.
My goal is to help
demystify data science
and help you unlock your
potential as a data scientist.
Together we will
explore this landscape
and develop your toolkit
so that using data science,
you can provide valuable
solutions to your current
or future organization.
So come join us for
an action-oriented
and hands-on learning
experience.
I've taken a lot of pride
and joy in seeing my students
from the Master of
Engineering Management Program
and the Tuck School of Business
make incredible progress
in their familiarity and
capabilities with data science.
