Welcome back.
We're at a critical point in the course now because we have two paths that are going to diverge.
Now don't worry these two paths just depend on your past experience.
At the end of the course you're still going to end up in the same location with the same knowledge.
But we want to make sure that this course is inclusive for everybody.
And that is in order for us to continue we need to know a programming language and specifically python
because python is used all over data science.
It's a mandatory requirement.
So we need to learn it.
Now for some of you you already know Python.
Right for those that know Python you can just keep continuing with the next lecture because starting
from the next lecture we're going to assume that you know how to program in Python.
The other path is for people that don't know Python Whether you're new to programming or maybe know
another language but aren't so familiar with Python.
Well we have a second path where we teach you python from scratch.
For those people you'll have to go to the bottom of the course in the course outline and start the python
section.
And once you're done that Python section come back to this lecture and then continue on with the course.
I promise you it's not as intimidating as you think.
And you're going to learn python enough to get hired.
Now you might be asking yourself Andre why do we even need Python all this stuff you've been talking
about sounds a lot like just data that what we can just use Excel and excel sheets to create graphs
and don't we have Excel for this and haven't businesses been using Excel successfully for the past decades
now even though Excel is great.
There are some areas that make a programming language like Python a lot better for certain types of
data science and data analysis.
So trust me on this one you need to know python because unlike excel where you can just have a visual
representation and drag and drop cells and play things around well with Python we have certain benefits
like the ability to work with almost any kind of data you can automate repetitive tasks and make things
easier.
It's a lot faster when you start working with the larger and larger amounts of data.
It has advanced as this sticks and machine learning capabilities that we wouldn't get with Excel and
also advanced data visualizations so we can just make things beyond just general graphs that you might
find and excel.
But more importantly with Python you can run Python anywhere.
You don't need a certain type of operating system or certain type of computer you can run your data
science projects and machine learning projects with Python.
So yes you have to know python.
And I've said python a million times in this videos.
So those are your two choices either you know python and keep going with the course or you don't know
Python so you're going to jump to the Python section and come back to this video.
All right.
Two paths.
Let's get started.
We're all going to end up in the same location.
I'll see you in the next one.
Bye bye.