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Hey it's Bruno here.

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It looks like you have your computer all set up.

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That's great to hear because we have our first client there a car manufacturer and they have some data

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on cars that they need to figure out but there's just too much mess out there.

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They don't really understand how to read it.

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I heard you're good with data analysis so I'm going to hand this off to you.

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Don't let me down.

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Does your first task.

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I'll see you later.

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All right everybody.

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There's another task that Bruno gave us.

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We have to analyze and do some data analysis on some car data now throughout the next couple of sections.

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We're actually going to get our hands dirty and start using Jupiter notebooks and start coding.

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We're going to use Python.

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We're going to use pandas.

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And we're also going to use something called non pi.

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Now a bit of a heads up here.

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The way we've structured these sections is that you should code along with us.

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So make sure you have your Jupiter notebook open and you code along and write stuff in as we have as

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well.

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We'll also provide all the notebooks and worksheets for you.

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And at the very end of each section for pandas and not by we actually provide exercises based on what

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you've watched and what you've learned so don't worry if you find some parts confusing because these

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are pretty tough topics to understand at first but by coding along and then doing the exercises at the

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end of each section you'll notice that things start to stick.

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Bit by bit remember we're learning these things because they're valuable they're skills that are valuable

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and valuable skills don't necessarily mean skills that are easy.

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If you could just watch videos from your couch and and not practice and become a data scientist.

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Well then everybody would be a data scientists and everybody would have high salaries.

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But that's not the case.

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We need to work and practice to really understand these things.

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So just giving you a warning if it becomes a little tough intimidating at first.

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Remember this every time something is difficult.

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That's what makes a skill valuable.

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So practice with us as you code and also make sure you do the exercises at the end of each section because

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they'll help stick that information that we've learned in the videos.

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All right.

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Enough talk.

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We've got to figure out this car sales data.

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So let's get to it.