*** Learning Path in Preview ***
This learning path is still in development with new content being added over the coming weeks to ensure it fulfills all elements covered across all domains in the exam.
Additional course content coming soon to this LP includes:
- Data Streaming with Amazon Kinesis
This certification Learning Path is specifically designed to prepare you for the AWS Certified Data Analytics - Specialty (DAS-C01). It covers all the elements required across all 5 of the domains outlined in the exam guide. Throughout this learning path, you will be guided via our courses, hands-on labs including some lab challenges, webinars, and a preparation exam at the end, all of which are focused on areas that will be assessed within the exam.
This learning path is suitable for anyone wanting to pass the AWS Certified Data Analytics - Specialty DAS-C01 exam. As defined in the exam guide, which can be found here, the exam has been designed for individuals who perform in a data analytics-focused role. This exam validates an examinee’s comprehensive understanding of using AWS services to design, build, secure, and maintain analytics solutions that provide insight from data.
The aim of the certification is to validate your knowledge across key areas, which have been defined by AWS as being able to:
- Define AWS data analytics services and understand how they integrate with each other.
- Explain how AWS data analytics services fit in the data lifecycle of collection, storage, processing, and
As a means of demonstrating this knowledge, you will be tested across 5 different domains, with each domain contributing to a total percentage of your overall score. These domains are broken down as:
Domain 1: Collection - 18%
Domain 2: Storage & Data Management - 22%
Domain 3: Processing - 24%
Domain 4: Analysis and Visualization - 18%
Domain 5: Security - 18%
As you progress through the learning path, you will gain all the information and knowledge required to fulfill the domain expectations, gaining a deep understanding within each area.
We welcome all feedback and suggestions - please contact us at email@example.com if you are unsure about where to start or if you would like help getting started.
Learning Path Steps
This course introduces the AWS Certified Data Analytics - Specialty exam preparation learning path which covers the requirements of the exam.
This course explores the different concepts behind data analytics.
This course explores various AWS database services commonly used with data analytics solutions that will likely be referenced within the AWS Data Analytics Specialty certification.
Learn how to use the Amazon Redshift service. Create a cluster with a database, copy data from S3, query data using SQL, and resize the cluster.
Move your first steps using DynamoDB. Create tables with and withoud secondary indexes, learn how to add new rows and query your data by using the AWS Management Console.
This short course focuses on the DynamoDB Accelerator, more commonly referred to as DAX.
This course provides an introduction to the big data processing service known as Amazon Elastic Map Reduce, commonly referred to as EMR.
Broad introductory lab on Amazon Elastic MapReduce (EMR). Get started today!
This course introduces you to arguably the most widely used storage service within AWS, the Amazon Simple Storage Service, more commonly known as Amazon S3.
Using Amazon S3 Bucket Properties & Management Features to Maintain Data
This course will look at some of the management and bucket property features that Amazon S3 has to offer, and how you can use them to maintain and control your data.
In this course, you'll learn about the S3 encryption and decryption process for S3 Managed Keys, KMS Managed Keys, and Customer Provided Keys.
Learn how to store data in Amazon S3 for use with Data Analytics services including Redshift and Athena. Learn how to structure analytic data to maximize performance and minimize costs.
This course explores the AWS Athena service, reviewing fundamental AWS Athena storage and querying concepts.
Use Amazon Athena to query encrypted data on S3 and encrypt the query results as well.
This Amazon Athena playground lab provides you with an Athena sandbox for you to use SQL to query COVID-19 data provided by the AWS COVID-19 data lake.
This course on AWS Lambda shows you how to implement solutions and applications using a serverless architecture.
This course introduces AWS Step Functions and its uses, benefits, and limitations.
This course will take you through the fundamentals of AWS Glue to get you started with the service.
This brief course covers a few special considerations about AWS Glue for those thinking about taking their AWS Certified Data Analytics - Specialty certification exam.
This course explores how to interpret your data allowing you to effectively decide which chart type you should use to visualize and convey your data analytics.
In this course, you'll how to recognize the best techniques for delivering results of a query, and how to create data visualization.
Learn how Amazon Quicksight can help you get the most out of your data by allowing you to visualize, embed, and share data quickly.
This brief course covers the fundamentals of Amazon MSK, including what the service is, how it works, and how to provision an Amazon MSK cluster.
Aggregating Data with Amazon Managed Streaming for Apache Kafka (MSK)
Learn how to aggregate data using Amazon Managed Streaming for Apache Kafka in this Hands-On lab.
In this introductory course, you will learn to recognize and explain the core components of Amazon Kinesis and where those services can be applied.
This course is part one in a two-part series that explores Amazon Kinesis Data Streams.
This course covers shard capacity, Kinesis Data Streams as a streaming storage layer, and the basics of securing data in a Kinesis Data Stream.
In this course, you'll learn about the key features and core components of Kinesis Analytics, and what an end-to-end real-time data streaming example looks like.
Sessionizing Clickstream Data with Amazon Kinesis Data Analytics
In this lab you will see how to use Kinesis Data Analytics to sessionize clickstream data, and, you will see how to send the output data from Kinesis Data Analytics to DynamoDB using a Lambda function.
Collecting Log Data with Kinesis Agent and Querying with Amazon Athena
Learn how to use the Amazon Kinesis Agent application to collect log files and learn how to use AWS Glue and Amazon Athena to query the log data.
In this course, you'll learn to recognize and explain what encryption is at a high level as well as the various encryption options provided by AWS.
In this course, you will learn the basics of KMS, what it will cost to implement, how to encrypt data, and more...
In this lab, you'll learn about Amazon Key Management Service to encrypt S3 and EBS Data at an intermediate level. Get started today!
Webinar | Increase Big Data Application Throughput and Save up to 90% on Compute Costs
Learn how to accelerate your big data application performance and lower costs by using Amazon EC2 Spot Instances with Amazon EMR.
Put your skills to the test in this data analytics lab. Complete a data analytics processing solution before time runs out. You will need to be familiar with Amazon's Data Analytics services and associated tools in order to complete a partially built sol...
Cert Prep: AWS Data Analytics - Specialty Certification
Stephen is the AWS Certification Specialist at Cloud Academy. His content focuses heavily on topics related to certification on Amazon Web Services technologies. He loves teaching and believes that there are no shortcuts to certification but it is possible to find the right path and course of study.
Stephen has worked in IT for over 25 years in roles ranging from tech support to systems engineering. At one point, he taught computer network technology at a community college in Washington state.
Before coming to Cloud Academy, Stephen worked as a trainer and curriculum developer at AWS and brings a wealth of knowledge and experience in cloud technologies.
In his spare time, Stephen enjoys reading, sudoku, gaming, and modern square dancing.