
UdemyThis course is built for people who need to start using Amazon S3 quickly rather than study it exhaustively. It moves from an introduction to what S3 is, through setting up AWS Console access (groups, users, credentials), into the core Python operations: creating buckets, and uploading, downloading, and deleting files and buckets.
Aimed primarily at data analysts, business intelligence users, and data scientists who need S3 as part of a broader workflow, plus engineers wanting an introduction, though it deliberately does not cover security, access management, or bucket policies in depth. Working knowledge of Python and a ready development environment are assumed.
Its condensed format is designed to be worked through over a single weekend, leaving learners ready to apply S3 skills at work right away.
This course is aimed at users who are needing to use S3 as part of their overall solution and are needing to quickly learn what S3 is, what it is for and how to use it. Common users of this course include but not limited to data analysts, business intelligence users and data scientists.
This can also serve as an introductory course to engineers, however the focus is not around security and access management or bucket policies.
If you are new to S3 and are curious about using Python to interact with S3, then this is the course for you.
This course aims to:
Introduce you to what S3 is
Familiarize you with the AWS Console so you can:
Set up groups, users and credentials
Interface with S3
Show you how to do the following in S3 with Python
Create Buckets
Upload files
Download files
Delete files
Delete Bucket
After this course you should feel confident in using Python to manage your S3 content.
Note: In order to get the most out of this course, you will want to:
Have working knowledge of Python
Have a Python environment that you can use to work along with the examples
Have an IDE or good Text Editor (e.g. VS Code, Pycharm, Atom)
Lastly, this is a condensed course and my desire is that you can learn what you need over the weekend and feel confident enough to take your new skills to work the next day!
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