Hello everyone else to the data to capstone finance project overview lecture.
In this lecture we're going to go over the finance project Jupiter notebook.
Let's go ahead and go to that notebook to get started.
OK here we are at the finance project notebook.
This notebook is located under the Data capstone projects folder.
And a quick note about the finance data project in this project we're going to be focusing on exploratory
data analysis of stock prices and keep in mind this project is only meant to practice visualisations
and panda skills.
Not meant to be a financial analysis or to be taken as any sort of financial advice.
And another no this project is actually extremely challenging.
It's going to try to introduce you to a lot of new concepts.
So you may have to look things up on your own.
There are lots of links that documentation's are going to point you in the right direction to try to
solve the tasks issue.
But you can also feel free to just walk through the solutions lecture notebook and video as sort of
a walk through Project.
If you don't really want to have to look things up yourself you're still going to learn a lot that way
.
Or if you're really not interested in stocks or financial analysis you can just skip this project altogether
.
We're going to be doing this project is focusing on bank stocks and see how they progress through the
financial crisis all the way to early 2016 and we'll show you how to get the data.
A lot of these imports are filled out for you but no you'll need to install Pandavas data reader for
this to work.
You can go out and click here for some installation instructions but basically you're just going to
have to either install or install Pancho's dash data reader so you can say Pipp install panderers dash
data reader or Konda install Pandurs stashed data reader.
OK so you can go ahead and use those links for install guidance.
Basically just I would recommend just Pipp install panelist dash reader or you can actually fall along
with the solutions video lecture.
But we have some imports filled out for you and you're going to get the data and you're actually going
to get the data directly with pandas from the Internet and there is a documentation page to give you
hints and instructions on how to do that.
And again since this is a data capstone project it's a little more vague on how to actually get that
data doesn't tell you step by step.
But the documentation pages should be pretty clear in how to get it.
Again you can go ahead and reference the solutions in case you get stuck on this step.
Then you just go ahead and follow the instructions and try to create similar data frames.
So what's shown.
We'll do some exploratory data analysis.
Check out some returns some correlations between the stocks do some visualizations and then later on
we're going to go ahead and just visualize the stocks and how they did during certain instances like
the 2008 2009 economic crash.
All right that's it for this overview lecture.
You can go ahead and check out the Jupiter note book yourself.
And like I mentioned if you're finding it too hard or too tough because this is an extremely challenging
project.
Feel free to just go through the solutions and experience it that way.
As more of a walk through Project or skip it completely.
If this topic just doesn't interest you at all.
OK thanks everyone and I'll see you at the next lecture