WEBVTT

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>> Hi everyone. My name is Sarah.

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>> Hi. My name is Francesca.

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>> This is developers
Intro to data science.

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In this video, we're going to

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tell you a little bit
about who we are,

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who you might be, and what the
goal of this video series is.

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My name is Sarah Guthals.

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I'm a Principal Program
Manager at Microsoft.

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I'm obsessed with teaching
and learning tech,

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whether that be for kids learning
to code for the first time,

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or developers who are
interested in data science.

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I go to Disneyland
anytime that I can.

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I'm a spouse and a mother
to a two-legged toddler,

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and four, four-legged children,

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two cats and two dogs.

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The best place to find
me is on Twitter.

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>> Hi everyone. My name
is Francesca Lazzeri.

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I'm a Cloud Advocate
at Microsoft and I

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lead a team of Cloud Advocates
and data scientists.

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I'm in love with Machine learning

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and operations research
since I was a child,

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but I'm also in love
with art and jazz music.

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The best way to find
me is on Twitter.

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>> For this video series,

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I'll be representing
the developer who knows

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that data is important but has
no clue how to get started,

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which isn't far from the truth.

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>> I would be the machine
learning scientist.

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Who knows that data
is very important,

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and actually knows
how to get started.

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These course is for you.

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If you have already a little
bit of experience in coding,

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in text-based programming languages

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such as the Python,
JavaScript, or C#.

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If you have experience as
a developer, for example,

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if you built any app
from start to finish,

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or if you have a completed a
coding course or boot camp.

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Most importantly, if
you're really looking

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forward to get started
with the data science.

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For example, if you partner

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with data scientists there
in your everyday job,

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if you want to become a data
scientist in the future,

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and also if you have to

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make a data informed
decisions for your work.

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For this series, we have
a few goals in mind.

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First of all, we are
going to explain you

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why data science is so important.

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We're going to do so by explaining
you what is data science,

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how you can get involved,

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how it can help development.

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Then we're going to explain you
how you can do data science.

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We're going to explain
you how you can

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explore and prepare your data,

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and how you can elevate to

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use different machine
learning algorithms.

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Finally, we're going to conclude
explaining you how to stay

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ethical with your end-to-end

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machine learning and
data science solutions.

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>> As you can see, we have a lot of

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topics to cover in this video series.

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We're going to start with
that high level explanation

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of data science and machine
learning algorithms,

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jump into VS Code,

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which you might be familiar
with as a developer,

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move into the Azure
Machine Learning workspace

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within the Azure portal,

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and end it not only with
the discussion on ethics,

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but how to practically integrate
ethics into your solution.

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We definitely have a lot of
useful resources for you.

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All of these are linked down
in the description below.

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The GitHub repository has all
of the code that we're going to

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write throughout this series so

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you can try it out
on your own at home.

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We also have a
collection on Microsoft

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learn with some of our
favorite learn modules,

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if you want to continue learning.

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We just have a number
of cheat sheets, docs,

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and learn modules that we think are

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most important for this video series.

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Be sure to check them out
before, during, and after.