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AWS Data Analytics Fundamentals

Master fundamental AWS services and tools for cloud data analytics, from data storage to visualization, in this hands-on beginner's course.

Master fundamental AWS services and tools for cloud data analytics, from data storage to visualization, in this hands-on beginner's course.

Dive into the world of data analytics with AWS in this comprehensive introductory course. You'll explore various data analysis techniques, from descriptive to prescriptive, with a focus on practical application. The course covers key AWS tools like CloudTrail, Athena, and QuickSight, guiding you through a hands-on project to build a security dashboard. You'll gain insights into data collection, processing, and visualization in the cloud, understanding the benefits of cloud-based analytics. Perfect for beginners, this course equips you with essential skills to start your journey in modern data analytics.

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AWS Data Analytics Fundamentals

This course includes

1 Week

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

5,010

What you'll learn

  • Understand the concept and importance of data analytics in the modern world

  • Explore different types of data analysis techniques: descriptive, diagnostic, predictive, and prescriptive

  • Learn how to perform descriptive data analytics in the cloud using typical datasets

  • Gain insight into various aspects of data analytics, including ingestion, cleaning, processing, querying, and visualization

  • Develop skills in building simple visualizations using AWS QuickSight for descriptive analytics

  • Apply knowledge to create a basic security dashboard using AWS tools like S3, CloudTrail, and Athena

Skills you'll gain

Data Analytics
AWS
Cloud Computing
Descriptive Analysis
Predictive Analysis
CloudTrail
Athena
QuickSight
Data Visualization
Security Dashboard

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

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Module Description

This course provides a comprehensive introduction to data analytics using AWS cloud services. It covers different types of data analysis techniques, including descriptive, diagnostic, predictive, and prescriptive analytics. The course focuses on practical application, guiding students through a project using AWS CloudTrail logs. Students will learn to use Amazon Athena for querying data and Amazon QuickSight for visualization. The curriculum includes an overview of data analysis scenarios, the benefits of cloud-based analytics, and culminates in building a basic security dashboard. This hands-on approach ensures students gain practical experience with real-world data sets and AWS tools, preparing them for data analytics tasks in cloud environments.

Fee Structure

Instructor

Rafael Lopes
Rafael Lopes

1,74,521 Students

15 Courses

Principal Cloud Technologist

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.

AWS Data Analytics Fundamentals

This course includes

1 Week

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

5,010

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.5 course rating

11 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.