Getting Started with Data Analytics on AWS

Learn practical Data Analytics skills for beginners from AWS experts
Rating: 4.6 out of 5 (47 ratings)
3,109 students
English
English

Understand what data analytics means in the modern world and how to do data analytics in the cloud
Explain different types of data analyses – descriptive, diagnostic, predictive, prescriptive
Understand how to do descriptive data analytics in the cloud, with typical data sets
Understand at a very high level different aspects of data analytics – such as ingestion, cleaning, processing, querying, visualization
How to build simple visualizations in AWS QuickSight to do descriptive analytics (using S3, Cloudtrail, Athena)

Requirements

  • None

Description

Learn how to go from raw data to meaningful insights using AWS with this course. Throughout the course, you’ll learn about the fundamentals of Data Analytics from AWS experts.

With the explosion of data collection enabled by the internet, mobile applications and transformation into the cloud, effective data analytics is turning into a critical tool in practically every domain – from academia to enterprise.

Start off with an overview of different types of data analysis techniques (descriptive, diagnostic, predictive and prescriptive) before diving deeper into descriptive analysis. Then, apply your knowledge with a guided project that makes use of a simple, but powerful dataset available by default in every AWS account: the logs from AWS CloudTrail. The CloudTrail service enables governance, compliance, operational auditing, and risk auditing of your AWS account. Through the project you’ll also get an introduction to Amazon Athena and Amazon QuickSight. Examples of common data analysis scenarios and benefits of doing analytics in the cloud will be discussed. And, you’ll learn how to build a basic security dashboard as a simple but practical method of applying your newfound data analytics knowledge.

This course is not a deep dive into any of the services (Amazon S3, Amazon Athena, AWS CloudTrail, AWS Quicksight), but brings them together to explain how to do analytics on AWS, with a simple example.

Who this course is for:

  • Anybody who is interested in learning about data analytics

Course content

3 sections17 lectures1h 22m total length
  • Welcome to Getting Started with Data Analytics on AWS
    01:17
  • Course Welcome and Student Information
    00:44
  • What is Data Analytics?
    07:31
  • Most Common Data Analysis Nowadays
    08:27
  • How is Data Analytics Present in Your Life?
    02:43

Instructors

A subsidiary of Amazon.com
Amazon Web Services (AWS)
  • 4.4 Instructor Rating
  • 18,373 Reviews
  • 75,581 Students
  • 12 Courses

In 2006, Amazon Web Services (AWS) began offering IT infrastructure services to businesses in the form of web services -- now commonly known as cloud computing. Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world.

 
AWS offers Training and Certification programs to help you develop skills to design, deploy, and operate your infrastructure and applications on the AWS Cloud. We deliver training classes across the globe. We also offer training, bootcamps, and labs at many AWS events.

Senior Cloud Technologist @ Amazon Web Services
Rafael "Raf" Lopes
  • 4.6 Instructor Rating
  • 76 Reviews
  • 7,150 Students
  • 4 Courses

Rafael "Raf" Lopes is a Brazilian Senior Cloud Technologist based out of New York, and has been determined to share as much knowledge as possible around the world to everyone with Internet access! Outside of AWS, you can find him taking street photographies around big cities, playing Pink Floyd solos on the guitar, cooking for his family, or enjoying videogames with his friends. He also loves to connect with customers and students on his Twitter at @DeployToProd.