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AWS Data Analytics Learning Plan

AWS Select Training Partner
Data Analytics Learning Plan

Become a Data Analytics Expert With Free AWS Digital Training

Build your career with foundational courses from AWS. Our free digital library of AWS Data Analytics courses will teach you about data collection, ingestion, storage, processing, and visualization, and prepare you for the AWS Certified Data Analytics – Specialty certification exam.

Start your AWS Data Analytics training with any of the courses listed below.

Free AWS Data Analytics Courses

Introduction to Amazon Athena

This course introduces the Amazon Athena service along with an overview of its operating environment. The basic steps in implementing Amazon Athena are also covered. Using the AWS Management Console, a brief demonstration of creating a database to run SQL queries for validation is performed.

  • Course Level: Fundamental
  • Duration: 10 Minutes

Visualizing with QuickSight

In this course, you will be introduced to the technical side of business intelligence (BI) and data visualization with Amazon Web Services (AWS). You will focus on using Amazon QuickSight to build and share interactive dashboards and analyses. You will learn how to embed dashboards into applications and websites, and securely manage access and permissions. You will also see how to connect to and prepare data from services such as Amazon Simple Storage Service (Amazon S3), Amazon Relational Database Service (Amazon RDS), Amazon Redshift, Amazon Athena, and AWS Glue, as well as on-premises data sources through virtual private clouds (VPCs) and application connectors.

  • Course Level: Fundamental
  • Duration: 4 Hours

Getting Started with Amazon Redshift

In this course, you will learn the benefits, typical use cases, and technical concepts of Amazon Redshift. You can also try the service through a demonstration using the AWS Management Console. The cloud data warehouse service integrates with data lakes based on Amazon Simple Storage Service (Amazon S3). It also integrates with relational database services such as Amazon Relational Database Service (Amazon RDS) for PostgreSQL, Amazon Aurora PostgreSQL-Compatible Edition, Amazon RDS for MySQL, and Amazon Aurora MySQL-Compatible Edition. Amazon Redshift supports building and using machine learning (ML) models using familiar SQL commands, thereby reducing the skills needed to take advantage of ML.

  • Course Level: Fundamental
  • Duration: 1 Hour

AWS Hadoop Fundamentals

AWS Hadoop Fundamentals introduces you to the basics of big data and how Hadoop as a framework handles it. This course discusses Hadoop architectures and how large sets of data are stored and processed. The course explains several tools used in the process: MapReduce, Hive, and Pig. The course also examines Hadoop as part of the AWS big data ecosystem.

  • Course Level: Fundamental
  • Duration: 1 Hour 30 Minutes

Serverless Analytics

Customer data comes in all shapes and forms and from every direction. It’s more critical than ever to connect and process all of that data, so that you can enable more data-driven decisions. In this course, Glenn Gillen will show you how to synthesize all of that disparate data using the power of tools like AWS IoT Analytics, Amazon Cognito, AWS Lambda, and Amazon SageMaker, to name a few. You will learn how to aggregate, process, store, and deliver actionable data in new and powerful ways.

  • Course Level: Advanced
  • Duration: 25 Minutes

Why Analytics for Games

This course addresses the use of analytics in gaming use cases. Learners will explore the benefit of analytics and how insights can be used to improve game design, increase efficiency of game operations, and inform financial and strategic decisions. Learners will see different sources and types of game data to use for business intelligence and how an analytics pipeline can be used to translate game data to answers.

  • Course Level: Intermediate
  • Duration: 1 Hour

Data Analytics Fundamentals

In this self-paced course, you learn about the process for planning data analysis solutions and the various data analytic processes that are involved. This course takes you through five key factors that indicate the need for specific AWS services in collecting, processing, analyzing, and presenting your data. This includes learning basic architectures, value propositions, and potential use cases. The course introduces you to the AWS services and solutions to help you build and enhance data analysis solutions.

  • Course Level: Fundamentals
  • Duration: 003:30:00

Free AWS Data Analytics Exam Prep

Exam Readiness: AWS Certified Data Analytics – Specialty

The AWS Certified Data Analytics – Specialty exam validates technical skills and experience in designing and implementation AWS services to derive value from data. This course helps you prepare for the exam by exploring the exam’s topic areas and familiarizing you with the question style and exam approach. The course reviews sample exam questions in each topic area and teaches you how to interpret the concepts being tested so you can more easily eliminate incorrect responses.

  • Course Level: Intermediate
  • Duration: 3 Hours 30 Minutes

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