Member-only story
AWS for Data Scientists: What You Really Need to Learn
Beginner’s Roadmap Guide: Before Touching Any Service
Let’s face it: you’ve heard “AWS is essential for data scientists” more times than you can count. We know this is true, and that is also why you came across this article.
But here’s the problem: when we open the AWS console, we feel like we’re studying the periodic table all over again, right? Managing over 200 services, including EC2, Lambda, SageMaker, and Glue, can be overwhelming. I’ve been there, and I definitely understand how you feel.
My main goal in this article is to help you gain confidence in AWS as a newbie. I will go over each of the basic AWS building components that every data scientist should be familiar with.
Basic Needs:
1. Understanding the AWS World Map
Yes, it matters.
You may think, “But, why does us-east-1 or eu-west-2 matter to a data scientist?” As a data scientist, you must understand where your data lives, and this data is stored in physical locations.
Understanding how AWS Regions and Availability Zones (AZs) work can benefit you. If I had to list…
