Hey it's Bruno here.
It looks like you have your computer all set up.
That's great to hear because we have our first client there a car manufacturer and they have some data
on cars that they need to figure out but there's just too much mess out there.
They don't really understand how to read it.
I heard you're good with data analysis so I'm going to hand this off to you.
Don't let me down.
Does your first task.
I'll see you later.
All right everybody.
There's another task that Bruno gave us.
We have to analyze and do some data analysis on some car data now throughout the next couple of sections.
We're actually going to get our hands dirty and start using Jupiter notebooks and start coding.
We're going to use Python.
We're going to use pandas.
And we're also going to use something called non pi.
Now a bit of a heads up here.
The way we've structured these sections is that you should code along with us.
So make sure you have your Jupiter notebook open and you code along and write stuff in as we have as
well.
We'll also provide all the notebooks and worksheets for you.
And at the very end of each section for pandas and not by we actually provide exercises based on what
you've watched and what you've learned so don't worry if you find some parts confusing because these
are pretty tough topics to understand at first but by coding along and then doing the exercises at the
end of each section you'll notice that things start to stick.
Bit by bit remember we're learning these things because they're valuable they're skills that are valuable
and valuable skills don't necessarily mean skills that are easy.
If you could just watch videos from your couch and and not practice and become a data scientist.
Well then everybody would be a data scientists and everybody would have high salaries.
But that's not the case.
We need to work and practice to really understand these things.
So just giving you a warning if it becomes a little tough intimidating at first.
Remember this every time something is difficult.
That's what makes a skill valuable.
So practice with us as you code and also make sure you do the exercises at the end of each section because
they'll help stick that information that we've learned in the videos.
All right.
Enough talk.
We've got to figure out this car sales data.
So let's get to it.