Using AWS S3 with Python

Using AWS S3 with Python, available at Free, has an average rating of 4.5, with 13 lectures, based on 110 reviews, and has 8982 subscribers.

You will learn about Introduction to S3 technology Learn the AWS Console Setup authentication to work with AWS Work with S3 using Python Create and manage S3 content using Python This course is ideal for individuals who are Beginner Python Developers or Data Analysts or Data Scientists or Business Intelligence Users It is particularly useful for Beginner Python Developers or Data Analysts or Data Scientists or Business Intelligence Users.

Enroll now: Using AWS S3 with Python

Summary

Title: Using AWS S3 with Python

Price: Free

Average Rating: 4.5

Number of Lectures: 13

Number of Published Lectures: 13

Number of Curriculum Items: 13

Number of Published Curriculum Objects: 13

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Introduction to S3 technology
Learn the AWS Console
Setup authentication to work with AWS
Work with S3 using Python
Create and manage S3 content using Python

Who Should Attend

Beginner Python Developers
Data Analysts
Data Scientists
Business Intelligence Users

Target Audiences

Beginner Python Developers
Data Analysts
Data Scientists
Business Intelligence Users

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!

Course Curriculum

Chapter 1: Introduction to S3

Lecture 1: Introduction

Chapter 2: AWS Console

Lecture 1: Prerequisites and AWS Account

Lecture 2: Create User Group and Account Credentials

Lecture 3: Setup local authentication

Lecture 4: Using your AWS Console to work with S3

Chapter 3: Python and S3

Lecture 1: Connect to S3 with Python

Lecture 2: Upload file to S3 using Python

Lecture 3: Create an S3 Bucket using Python

Lecture 4: Create an S3 folder using Python

Lecture 5: Download a file from S3 using Python

Lecture 6: Delete a file from S3 using Python

Lecture 7: Delete a Bucket from S3 using Python

Chapter 4: Course Completed

Lecture 1: Thank you!

Instructors

Oscar Valles
Analytics and Business Intelligence Professional

Rating Distribution

1 stars: 1 votes
2 stars: 1 votes
3 stars: 11 votes
4 stars: 33 votes
5 stars: 64 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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