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AWS 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 Kinesis Streams
In this course, we cover how Amazon Kinesis Streams is used to collect, process and analyze real-time streaming data to create valuable insights. An overview of the components of this service and a brief demonstration are also covered in this course.
- Course Level: Fundamental
- Duration: 11 Minutes
Introduction to Amazon Kinesis Analytics
This is an introductory course on Amazon Kinesis Analytics, which helps you query streaming data or build entire streaming applications using SQL. In this course, we discuss how the service collects, processes and analyzes streaming data in real-time. We also discuss how to use and monitor Amazon Kinesis Analytics and explore use cases.
- Course Level: Fundamental
- Duration: 7 Minutes
Getting Started with Amazon EMR
In this course, you will learn Amazon EMR Serverless which is a new option in Amazon EMR that makes it efficient and cost-effective for data engineers and analysts to run applications built using open-source big data frameworks without having to tune, operate, optimize, secure, or manage clusters. Additionally, you will learn the benefits, typical use cases, and technical concepts of Amazon EMR. You will have an opportunity to try Amazon EMR Serverless and Amazon EMR Cluster through tutorials using the AWS Management Console.
- Course Level: Fundamental
- Duration: 1 Hour
Getting Started with AWS Glue
AWS Glue is a serverless data integration service that you can use to discover, prepare, and combine data for analytics, machine learning (ML), and application development. In this course, you will learn the benefits, typical use cases, and technical concepts of AWS Glue. You will have an opportunity to try the service through a demonstration using the AWS Management Console.
- Course Level: Fundamental
- Duration: 1 Hour
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
Introduction to Amazon Quicksight
This is an introductory video on Amazon QuickSight – the cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. In this course, we will discuss the benefits of using Amazon QuickSight and how the service works. The course will also include a demonstration so you can see what Amazon QuickSight looks like in action.
- Course Level: Fundamental
- Duration: 18 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
Introduction to AWS IoT Analytics
This course is an introduction to AWS IoT Analytics, a fully-managed service which allows you to run sophisticated analytics on massive volumes of IoT data. In this course, we look at the key components of AWS IoT analytics, an overview of the deployment architecture, and some use cases. We also have a demo for you to see AWS IoT Analytics in action.
- Course Level: Fundamental
- Duration: 30 Minutes
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
Deep Dive into Concepts and Tools for Analyzing Streaming Data on AWS
In this course, we will introduce basic stream processing concepts and discuss strategies that are commonly used to address the challenges that arise from querying of streaming data. We will discuss different time semantics, processing guarantees, and elaborate how to deal with reordering and late arriving of events. We will also address the benefits of managing state inside a stream processing engine and highlight how it changes the way we build architectures in a streaming domain.
- Course Level: Advanced
- Duration: 35 Minutes
Introduction to Amazon Kinesis Data Analytics for Java Applications
The new support for Java programming in Amazon Kinesis Data Analytics helps you solve challenges, and this course will show you how. You’ll also learn how the SDKs are supported through Apache Flink libraries and see how it works in real-world use cases.
- Course Level: Fundamental
- Duration: 15 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
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. The course addresses each of the exam's content domains::
•Data collection systems
•Storage and data management concerns
•Data processing solutions
•Analysis and visualization of analytical data
•Security of the data analysis system
- Course Level: Advanced
- Duration: 3 Hours 30 Minutes
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