AWS Certified Data Analytics - Specialty (DAS-C01) Certification Preparation for AWS (Preview)

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AVG Duration19h
Students208
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Description

*** 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

**********************************

Overview

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.  

Intended Audience

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.

Learning Objectives

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
    visualization.

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.

Feedback

We welcome all feedback and suggestions - please contact us at support@cloudacademy.com if you are unsure about where to start or if you would like help getting started.

Certificate

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Learning Path Steps

1courses

This course introduces the AWS Certified Data Analytics - Specialty exam preparation learning path which covers the requirements of the exam.

2courses

This course explores the different concepts behind data analytics.

3courses

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.

4labs

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.

5labs

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.

6courses

This short course focuses on the DynamoDB Accelerator, more commonly referred to as DAX.

7courses

This course provides an introduction to the big data processing service known as Amazon Elastic Map Reduce, commonly referred to as EMR.

8labs

Broad introductory lab on Amazon Elastic MapReduce (EMR). Get started today!

9courses

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.

10courses

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.

11courses

In this course, you'll learn about the S3 encryption and decryption process for S3 Managed Keys, KMS Managed Keys, and Customer Provided Keys.

12labs

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.

13courses

This course explores the AWS Athena service, reviewing fundamental AWS Athena storage and querying concepts.

14labs

Use Amazon Athena to query encrypted data on S3 and encrypt the query results as well.

15labs

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.

16courses

This course on AWS Lambda shows you how to implement solutions and applications using a serverless architecture.

17courses

This course introduces AWS Step Functions and its uses, benefits, and limitations.

18courses

This course will take you through the fundamentals of AWS Glue to get you started with the service.

19courses

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.

20courses

In this course, you'll how to recognize the best techniques for delivering results of a query, and how to create data visualization.

21labs

Learn how Amazon Quicksight can help you get the most out of your data by allowing you to visualize, embed, and share data quickly.

22courses

In this introductory course, you will learn to recognize and explain the core components of Amazon Kinesis and where those services can be applied.

23courses

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.

24labs

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.

25labs

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.

26courses

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.

27courses

In this course, you will learn the basics of KMS, what it will cost to implement, how to encrypt data, and more...

28labs

In this lab, you'll learn about Amazon Key Management Service to encrypt S3 and EBS Data at an intermediate level. Get started today!

29description

Learn how to accelerate your big data application performance and lower costs by using Amazon EC2 Spot Instances with Amazon EMR.

30

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...

31exam-filled

Preview Exam: AWS Data Analytics - Specialty Certification

About the Author
Students765
Courses3
Learning paths2

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.