Amazon Web Services (AWS) - Certified Data Analytics – Specialty | DAS-C01

Duration

Duration:

Just 4 Days

Method

Method:

Classroom / Online / Hybrid

Next date

Next date:

10/2/2025 (Monday)

Overview

On this accelerated AWS Certified Data Analytics – Specialty course, you’ll learn how to use AWS to design, build, secure and maintain analytics solutions. You’ll get access to data which will provide you with the best suggestions on how to promote scalability into your business.

In just 4 days, you’ll build knowledge on how to effectively utilise AWS data analytics and how it fits in the data lifecycle of collection, storage, processing and visualisation. You’ll also learn how to:

  • Define AWS data analytics services and understand how they integrate with each other
  • Leverage tools to automate Data Analysis

At the end of your course, you’ll sit exam DAS-C01, and get your AWS Certified Data Analytics – Specialty certification. You’ll learn at twice the speed, get access to courseware and learn from certified instructors through Firebrand’s Lecture | Lab | Review methodology.


Audience


If you are in a data analytics-focused role, this course is ideal for you.


AWS Certified Big Data - Specialty


AWS Certified Data Analytics – Specialty certification is an updated version of AWS Certified Big Data - Specialty certification.

With Data Analytics and Big Data representing increasingly changing fields, the term ‘Data Analytics’ relates more closely to what Amazon Web Services (AWS) offers.

Four reasons why you should sit your course with Firebrand Training

  1. You'll be trained and certified faster. Learn more on this 4-day accelerated course. You'll get at least 12 hours a day of quality learning time in a distraction-free environment
  2. Your course is all-inclusive. One simple price covers all course materials, exams, accommodation and meals – so you can focus on learning
  3. Pass first time or train again for free. Your expert instructor will deliver our unique accelerated learning methods, allowing you to learn faster and be in the best possible position to pass first time. In the unlikely event that you don't, it's covered by your Certification Guarantee
  4. Study with an award-winning training provider. We've won the Learning and Performance Institute's "Training Company of the Year" three times. Firebrand is your fastest way to learn, with 134.561 students saving more than one million hours since 2001

Curriculum

Building Data Lakes on AWS

  • Module 1: Introduction to data lakes
  • Module 2: Data ingestion, cataloguing, and preparation
  • Module 3: Data processing and analytics
  • Module 4: Building a data lake with AWS Lake Formation
  • Module 5: AWS Lake Formation additional configurations

Building Data Analytics Solutions Using Amazon Redshift:

  • Module 1: Using Amazon Redshift in the data analytics pipeline
  • Module 2: Introduction to Amazon Redshift
  • Module 3: Ingestion and storage
  • Module 4: Processing and optimizing data
  • Module 5: Security and monitoring of Amazon Redshift clusters
  • Module 6: Designing data warehouse analytics solutions

Building Batch Data Analytics Solutions on AWS

  • Module 1: Introduction to Amazon EMR
  • Module 2: Data Analytics Pipeline using Amazon EMR: Ingestion and Storage
  • Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR
  • Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive
  • Module 5: Serverless Data Processing
  • Module 6: Security and Monitoring of Amazon EMR clusters
  • Module 7: Designing Batch Analytics Solutions

Building Streaming Data Analytics Solutions on AWS:

  • Module 1: Using Streaming Services in the Data Analytics Pipeline
  • Module 2: Introduction to AWS Streaming Services
  • Module 3: Using Amazon Kinesis for Real-time Data Analytics
  • Module 4: Securing, Monitoring, and Optimizing Amazon Kinesis
  • Module 5: Using Amazon MSK in Streaming Data Analytics Solutions
  • Module 6: Securing, Monitoring, and Optimizing Amazon MSK
  • Module 7: Designing Streaming Data Analytics Solutions

Exam Track

As part of your accelerated course, you’ll sit the following exam at the Firebrand Training covered by your Certification Guarantee:

AWS Certified Data Analytics – Specialty exam

  • Exam code: DAS-C01
  • Format: Multiple-choice and multiple-response
  • Passing score: 750 (scale of 100-1000)
  • Duration: 180 minutes
  • Languages: English, Japanese, Korean and simplified Chinese
  • Domains:
    1. Collection (18%)
    2. Storage and Data Management (22%)
    3. Processing (24%)
    4. Analysis and Visualisation (18%)
    5. Security (18%)

What's Included

Your accelerated course includes:

  • Accommodation *
  • Meals, unlimited snacks, beverages, tea and coffee *
  • On-site exams **
  • Exam vouchers **
  • Practice tests **
  • Certification Guarantee ***
  • Courseware
  • Up-to 12 hours of instructor-led training each day
  • 24-hour lab access
  • Digital courseware **
  • * For residential training only. Accommodation is included from the night before the course starts. This doesn't apply for online courses.
  • ** Some exceptions apply. Please refer to the Exam Track or speak with our experts
  • *** Pass first time or train again free as many times as it takes, unlimited for 1 year. Just pay for accommodation, exams, and incidental costs.

Prerequisites

Before attending this accelerated course, it’s recommended you possess the following:

  • Minimum of 2 years' experience with AWS
  • Minimum of 5 years’ experience with common data analytics technologies
  • Experience and expertise working with AWS services to design, build, secure and maintain analytics solutions

Whilst not a formal prerequisite, due to the topics and content covered we strongly recommend that you take the AWS Certified Solutions Architect Associate and Professional course prior to this one.

Are you ready to get certified in record time?

We interview all applicants for the course on their technical background, degrees and certifications held, and general suitability. If you get through this screening process, it means you stand a great chance of passing.

Firebrand Training is an immersive training environment. You must be committed to the course. The above prerequisites are guidelines, but many students with less experience have other background or traits that have enabled their success in accelerated training through Firebrand Training.

If you have any doubts as to whether you meet the pre-requisites please call 21 96 61 82 and speak to one of our enrolment consultants, who can help you with a training plan.

Reviews

We've currently trained 134.561 students in 12 years. We asked them all to review our Accelerated Learning. Currently,
95,43% have said Firebrand exceeded their expectations:

"I recently had the incredible opportunity to participate in Certified Data Analytics tarining at Firebrand, and I can confidently say it was a transformative experience. I am immensely grateful for the instructor's guidance and support throughout my training at Firebrand. He played an instrumental role in my success and helped me acquire the skills and knowledge I needed to excel in my chosen field."
Anonymous (4/7/2023 (Tuesday) to 7/7/2023 (Friday))

"The Tutor is excellent."
Anonymous (4/7/2023 (Tuesday) to 7/7/2023 (Friday))

"I recently had the incredible opportunity to participate in Certified Data Analytics tarining at Firebrand, and I can confidently say it was a transformative experience. I am immensely grateful for the instructor's guidance and support throughout my training at Firebrand. He played an instrumental role in my success and helped me acquire the skills and knowledge I needed to excel in my chosen field."
Anonymous (4/7/2023 (Tuesday) to 7/7/2023 (Friday))

"The Tutor is excellent."
Anonymous (4/7/2023 (Tuesday) to 7/7/2023 (Friday))

"The trainer was absolutely fantastic. The course materials was explained to point and easily understood. All questions answered I had. I am feeling extremely confident of passing the exam and being certified."
Peter Royle, Lineage Logistics. (29/4/2024 (Monday) to 2/5/2024 (Thursday))

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