>> Hi everyone. My name is Sarah.
>> Hi. My name is Francesca.
>> This is developers
Intro to data science.
In this video, we're going to
tell you a little bit
about who we are,
who you might be, and what the
goal of this video series is.
My name is Sarah Guthals.
I'm a Principal Program
Manager at Microsoft.
I'm obsessed with teaching
and learning tech,
whether that be for kids learning
to code for the first time,
or developers who are
interested in data science.
I go to Disneyland
anytime that I can.
I'm a spouse and a mother
to a two-legged toddler,
and four, four-legged children,
two cats and two dogs.
The best place to find
me is on Twitter.
>> Hi everyone. My name
is Francesca Lazzeri.
I'm a Cloud Advocate
at Microsoft and I
lead a team of Cloud Advocates
and data scientists.
I'm in love with Machine learning
and operations research
since I was a child,
but I'm also in love
with art and jazz music.
The best way to find
me is on Twitter.
>> For this video series,
I'll be representing
the developer who knows
that data is important but has
no clue how to get started,
which isn't far from the truth.
>> I would be the machine
learning scientist.
Who knows that data
is very important,
and actually knows
how to get started.
These course is for you.
If you have already a little
bit of experience in coding,
in text-based programming languages
such as the Python,
JavaScript, or C#.
If you have experience as
a developer, for example,
if you built any app
from start to finish,
or if you have a completed a
coding course or boot camp.
Most importantly, if
you're really looking
forward to get started
with the data science.
For example, if you partner
with data scientists there
in your everyday job,
if you want to become a data
scientist in the future,
and also if you have to
make a data informed
decisions for your work.
For this series, we have
a few goals in mind.
First of all, we are
going to explain you
why data science is so important.
We're going to do so by explaining
you what is data science,
how you can get involved,
how it can help development.
Then we're going to explain you
how you can do data science.
We're going to explain
you how you can
explore and prepare your data,
and how you can elevate to
use different machine
learning algorithms.
Finally, we're going to conclude
explaining you how to stay
ethical with your end-to-end
machine learning and
data science solutions.
>> As you can see, we have a lot of
topics to cover in this video series.
We're going to start with
that high level explanation
of data science and machine
learning algorithms,
jump into VS Code,
which you might be familiar
with as a developer,
move into the Azure
Machine Learning workspace
within the Azure portal,
and end it not only with
the discussion on ethics,
but how to practically integrate
ethics into your solution.
We definitely have a lot of
useful resources for you.
All of these are linked down
in the description below.
The GitHub repository has all
of the code that we're going to
write throughout this series so
you can try it out
on your own at home.
We also have a
collection on Microsoft
learn with some of our
favorite learn modules,
if you want to continue learning.
We just have a number
of cheat sheets, docs,
and learn modules that we think are
most important for this video series.
Be sure to check them out
before, during, and after.
