‫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, well, we can just use Excel
‫and Excel sheets to create graphs and don't we have Excel for this?
‫And having 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 larger and larger amounts of data.
‫It has advanced statistics 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 in Excel.
‫But more importantly, with Python, you can run Python anywhere.
‫You don't need a certain type of operating system or a 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 video.
‫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.