Getting Started with Data Analytics on AWS

Getting Started with Data Analytics on AWS, available at Free, has an average rating of 4.31, with 17 lectures, 1 quizzes, based on 229 reviews, and has 9352 subscribers.

You will learn about 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) This course is ideal for individuals who are Anybody who is interested in learning about data analytics It is particularly useful for Anybody who is interested in learning about data analytics.

Enroll now: Getting Started with Data Analytics on AWS

Summary

Title: Getting Started with Data Analytics on AWS

Price: Free

Average Rating: 4.31

Number of Lectures: 17

Number of Quizzes: 1

Number of Published Lectures: 17

Number of Published Quizzes: 1

Number of Curriculum Items: 18

Number of Published Curriculum Objects: 18

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

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)

Who Should Attend

Anybody who is interested in learning about data analytics

Target Audiences

Anybody who is interested in learning about data analytics

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.

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Welcome to Getting Started with Data Analytics on AWS

Lecture 2: Course Welcome and Student Information

Lecture 3: What is Data Analytics?

Lecture 4: Most Common Data Analysis Nowadays

Lecture 5: How is Data Analytics Present in Your Life?

Chapter 2: Talk Cloud to Me!

Lecture 1: Why do Data Analytics in the Cloud?

Lecture 2: Popular AWS Services Used for Analytics Solutions

Lecture 3: Building a Simple AWS CloudTrail Data Analytics Solution (Part 1)

Lecture 4: Building a Simple AWS CloudTrail Data Analytics Solution (Part 1)

Lecture 5: Building a Simple AWS CloudTrail Data Analytics Solution (Part 2)

Lecture 6: Building a Simple AWS CloudTrail Data Analytics Solution (Part 2)

Lecture 7: Building a Simple AWS CloudTrail Data Analytics Solution (Part 3)

Lecture 8: Building a Simple AWS CloudTrail Data Analytics Solution (Part 3)

Lecture 9: Demo Conclusion

Lecture 10: Amazon S3, AWS CloudTrail, Amazon Athena, AWS Datasets, Amazon QuickSight, etc.

Chapter 3: Further Exploring Data Analytics

Lecture 1: What Else can you do with Data Analytics?

Lecture 2: Course Wrap-Up

Instructors

Amazon Web Services (AWS)
A subsidiary of Amazon.com
Rafael "Raf" Lopes
Senior Cloud Technologist @ Amazon Web Services

Rating Distribution

1 stars: 3 votes
2 stars: 2 votes
3 stars: 36 votes
4 stars: 80 votes
5 stars: 108 votes

Frequently Asked Questions

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

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