Hellhole before going ahead in this data analysis, real world use cases, hands on in Python goes,
you have to install a single software, you have to install your I.D., which is exactly Anakonda Navigator.
So you have to just go to Google, say download Anakonda Navigator for Windows, whatever else you are
using.
If you are using your Mac Google Apps, download Anakonda for Mac.
So we have to just click on this very first link over there and you will get redirect to your on the
official website.
Then what you have to do, you have to just call it to blow.
And here you have to select what users, whether you are Windows user, whether you are Mac user, whether
you are Linux user, then you have to select what processor you have, whether you have 60 forward,
but then you have 32 bit.
So I have 64 bit processor.
You have to just go over there, just click on this and this file gets downloaded in your download folder.
So once it will get downloaded, what you have to do, you have to just double click on that XY file,
then you have to just go over there, just click on next over there.
Once all the stuff you have done, you have to just install it once you will do you have to just click
on next and your anakonda gets successfully installed in your environment.
And if you are still facing some issues in installing anakonda, kindly paste your credit in your Q&A
section to once you install anakonda just browser Windows Quijote such as Jupiter Note Book or over
there.
And this is exactly the notebook.
You have to just click over there and this is exactly the end of with your Jupiter notebook is going
to launch there.
So this is exactly the interface of your Jupiter notebook ID and what you have to do it here.
You have to just click on this new button.
You have to select your Python three, because this anakonda has inbuilt Python three installed over
there.
You have to just click on this Python three and this is that notebook.
This is that new notebook that is going to be created in your new tab.
And this is exactly that notebook where you have to code in your Python programming language, because
in this data analysis, real world use cases, whatever project you are going to do, we are basically
going to do in our python programming.
So make sure you know Python very well.
That's why we have a free calls for all the students.
You have to just join the schools, which is basically Python, and you will definitely cover your basics
and you are ready to go dive into this data analysis or use cases course.
So hope you love the session.
Thank you.
Have a nice day.
Keep learning.
Keep growing.
Keep practicing.