AWS Learning Path | Data Analytics

The AWS Data Analytics Learning Path teaches you how to transform data into actionable insights using AWS services. It covers AWS services for data processing, storage, and visualization. By the end of this path, you will be able to use AWS services to gain insights from your data.

Introduction to Amazon Kinesis Streams

0 hour 11 minutes

This course will teach you how to use Amazon Kinesis Streams to collect, process, and analyze real-time streaming data for important insights. There will also be an overview of the service components and a brief demonstration.

Introduction to Amazon Kinesis Analytics

0 hour 6 minutes

In this course, you will be introduced to Amazon Kinesis Analytics. This will assist you in querying streaming data or construct entire streaming applications using SQL. You will understand how the service collects, processes and analyzes streaming data in real-time. You will also explore how to use and monitor Amazon Kinesis Analytics and explore use cases.

Getting Started with Amazon EMR

1 hour 30 minutes

In this course, you will learn the benefits and technical aspects of Amazon EMR, including its native architecture and built-in functionality for processing data for analytics and business intelligence workloads, as well as a demo using the AWS Management Console and AWS Command Line Interface (AWS CLI).

Getting Started with AWS Glue

This course will teach you about AWS Glue, a serverless data integration service that prepares and mixes data for analytics, machine learning, and application development. You will also have the opportunity to experiment with AWS Glue via a demo on the AWS Management Console.

Introduction to Amazon Athena

0 hour 10 minutes

Get familiar with the Amazon Athena Service in this course. The course covers how it works and the basic steps for putting Amazon Athena to use. There will also be a short demonstration of creating a database to run SQL queries for validation.

Introduction to Amazon Quicksight

0 hour 18 minutes

In this course, you will get an overview of Amazon QuickSight, a cloud-based business analytics solution that assists you in gaining insights from your data. The course will also teach you the different advantages of utilizing Amazon QuickSight, how the service works, and get a live demonstration of the platform.

Introduction to AWS IoT Analytics

0 hour 31 minutes

This course will explain how to look at the main parts of AWS loT analytics and also show you how to run complex analytics on huge amounts of loT data. After the course, you will have knowledge of the main parts of AWS loT analytics, as well as the architecture of deployment and some use cases.

Data Analytics Fundamentals

3 hours 30 minutes

In this course, you'll learn how to plan different ways to look at data and the steps you need to take. We'll talk about five important things that you need AWS tools to get, work with, look at, and show your data. You'll learn about simple designs, why they're useful, and some examples. We'll show you how to use AWS tools and give you ideas for making your data work better. We'll also look at safety features in Amazon ECS and Amazon EKS to help you choose the best container service.

Getting Started with Amazon Redshift

In this course, you will be introduced to the advantages, typical use cases, and technical concepts of Amazon Redshift. You will also be able to test the service though a demonstration using the AWS Management Console.

Deep Dive into Concepts and Tools for Analyzing Streaming Data on AWS

0 hour 35 minutes

This course will introduce you to the basic stream processing concepts and discuss common ways for dealing with the issues that occur from querying streaming data. You will get familiar with various time semantics, processing guarantees, and how to cope with event reordering and late arrival. You will also get comfortable with the advantages of maintaining state within a stream processing engine and how it affects the way we construct architectures in the streaming realm.

Introduction to Amazon Kinesis Data Analytics for Java Applications

0 hour 12 minutes

In this course, you will learn how to use Java programming to address problems with Amazon Kinesis Data Analytics. You will also learn about the supported SDKs and see how they apply in real-world use cases through the Apache Flink libraries.

Exam Readiness: AWS Certified Data Analytics - Specialty

3 hours 30 minutes

This course gives you a wide range of AWS data analytics services and how to be able to understand use data analytics to drive business transformation. This course helps to get ready for the exam, with information about the topics and shows how the exam is set up.

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