Welcome! Congratulations on your acceptance to GreyAtom's FSDSE Program. We hope you are really excited!! We want you to get ready for the Program and have a smooth experience. This means there is some work to be done before the start of the program.
This guide covers the following steps that you need to go through to prepare for the class.
- Setting up your operating system
- Setting up the version control system
- Pre-Reading Material
- Community and Meetups
The material in the Pre-Reading Material section is optional, but highly recommended.
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Minimum system requirements for the laptop to be used during the course - 64 bit system, minimum 4 GB RAM, i3 and above processor
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You can use either the Mac OS or Ubuntu 16.04 while working through the program.
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A note on hardware: your machine should have the
amd64
architecture. If you are not using an ancient machine, you should be fine.
We'll be using Homebrew
to install and manage packages.
You are already using Ubuntu? Just make sure you are using 16.04 LTS and you are all set.
You can follow any one of the following strategies:
- Erase everything and install Ubuntu 16.04 to replace Windows
- Setup Dual-Boot (you'll have both Windows and Ubuntu 16.04 in your machine)
- Make sure you have someone experienced to assist you
- https://www.lifewire.com/ultimate-windows-8-1-ubuntu-dual-boot-guide-2200654
- http://www.tecmint.com/install-ubuntu-16-04-alongside-with-windows-10-or-8-in-dual-boot/
- https://askubuntu.com/questions/221835/installing-ubuntu-alongside-a-pre-installed-windows-with-uefi
Using VMWare to run Ubuntu 16.04 from inside of Windows is not recommended.
In case you are new to Ubuntu, here is a guide to get started.Installation related help available on Ubuntu Forums and StackOverflow
- Install Git and create a GitHub account.
- Hands on Introduction to using Git and GitHub, video series (27 minutes)
Two companion blog posts:
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Analyzing the Analyzers:An Introspective Survey of Data Scientists and Their Work
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Read the first two chapters of The Data Science Handbook
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Python Code Academy Course An interactive, in-browser tutorial from Codecademy with 20+ modules and 200+ exercises. It is geared toward novice programmers. We want you to complete first 25 assignments here.
We will share many more, when in the course, but here are some very good starting points
Keep up with the latest in Data Science. Join & Attend the DataGiri Meetup
We've all got plenty of neuroplasticity left in us! No matter your background, you can learn what you want to learn. Believe that you can, and believe that those around you can too.
Reading is one way of getting you to think about things that you wouldn't otherwise. Writing encourages thinking. Discussion encourages thinking. Being active encourages thinking. Do things! Try things! Think about things!
There's so much to know! We all learn from one another. Embrace opportunities to learn from others, and opportunities to share what you know.
We want to know what you're thinking