Home » AWS Certified Data Analytics – Speciality
AWS Certified Data Analytics – Speciality
Length
3 days
Price
$2999
Cities
Melbourne, Sydney, Brisbane, Adelaide, Canberra, Perth
Learn More
Why Choose This Course
The AWS Certified Data Analytics – Speciality course delves into the end‑to‑end lifecycle of modern data analytics on AWS, covering data collection, storage and management, processing, analysis, visualization and security. Participants will engage with real‑world AWS services such as Amazon Kinesis, Redshift, QuickSight, EMR, Glue and Athena, gaining practical insight into how these components integrate to build scalable, efficient analytics solutions.
This training is crucial in today’s data‑driven landscape, where organisations rely on analytics to inform decision‑making, identify trends and unlock business value. By understanding AWS’s analytics ecosystem and relevant architecture patterns, professionals can contribute to data strategy, improve operational efficiency and support innovation. The AWS certification complements existing experience, validating the candidate’s skills without overpromising results—candidates are recommended to have at least two years of hands‑on AWS analytics experience and five years in broader data‑related roles.
With demand for skilled cloud data specialists rising, this course supports career progression by certifying capability in designing, implementing and securing analytics solutions on AWS. It is particularly relevant for data engineers, data scientists, cloud architects and IT professionals aiming to deepen their AWS analytics proficiency. The skills gained are directly applicable to roles involving large‑scale data ingestion, processing pipelines, business intelligence, and secure data architecture. The AWS Certified Data Analytics – Speciality certification training course is available in Melbourne, Sydney, Brisbane, Adelaide, Perth, and Canberra, in-house and live virtual online.
Prerequisites
- At least 5 years of experience with common data analytics technologies
 - At least 2 years of hands-on experience working on AWS
 - Experience and expertise working with AWS services to design, build, secure, and maintain analytics solutions
 
Exam
Candidates can achieve thi certification by passing the following exam(s).
DAS-C01 Exam
Books
AWS Certified Data Analytics Speciality course material
Delivery
- Instructor-led Classroom Training at our premises
 - Live Virtual Online Training attend in real-time from anywhere
 - In-House Training at your premises (4+ participants)
 
Skills Gained
- Designing end‑to‑end AWS analytics solutions
 - Using core AWS services (Kinesis, Redshift, EMR, Glue, Athena, QuickSight)
 - Implementing secure, cost‑effective data collection and storage
 - Developing data processing pipelines and transformation logic
 - Creating analytics and visualization solutions
 - Applying security best practices in analytics environments
 
Audience
- Data engineers and data scientists
 - Cloud architects and IT professionals
 - Professionals seeking to validate AWS data analytics skills
 - Individuals with experience designing, building, maintaining analytics solutions on AWS (2+ years) and general data experience (5+ years)
 
Objectives
- Understand the lifecycle of data analytics solutions on AWS
 - Learn to design scalable and secure data collection systems
 - Gain skills in processing and transforming data using AWS services
 - Explore data storage options and management strategies on AWS
 - Develop visualisation and reporting solutions with AWS tools
 - Apply security best practices across analytics environments
 
Outline
- Determine the operational characteristics of the collection system
 - Select a collection system that handles the frequency, volume, and source of data
 - Select a collection system that addresses the key properties of data, such as order, format, and compression
 - Determine the operational characteristics of a storage solution for analytics
 - Determine data access and retrieval patterns
 - Select an appropriate data layout, schema, structure, and format
 - Define a data lifecycle based on usage patterns and business requirements
 - Determine an appropriate system for cataloging data and managing metadata
 - Determine appropriate data processing solution requirements
 - Design a solution for transforming and preparing data for analysis
 - Automate and operationalize a data processing solution
 - Determine the operational characteristics of an analysis and visualization solution
 - Select the appropriate data analysis solution for a given scenario
 - Select the appropriate data visualization solution for a given scenario
 - Select appropriate authentication and authorization mechanisms
 - Apply data protection and encryption techniques
 - Apply data governance and compliance controls
 
Price
| Category | Full-Time (Weekdays) | Part-Time (Weeknights) | Part-Time (Weekends) | 
|---|---|---|---|
| Days | Monday to Wednesday | Mondays and Tuesdays | Saturdays only | 
| Time | 9:30 am to 5:00 pm | 6:00 pm to 9:00 pm | 10:00 am to 5:00 pm | 
| Duration | 3 days | 3 weeks | 3 weeks | 
| Price | $2999 | $2999 | $2999 | 
Terms & Conditions
The supply of this course is governed by our terms and conditions. Please read them carefully before enrolling, as enrolment is conditional on acceptance of these terms and conditions. Proposed course dates are given, 
course runs subject to availability and minimum registrations.
Frequently Asked Questions (FAQ's)
					 Who should take the AWS Certified Data Analytics – Speciality course? 
							
			
			
		
						
				This course is ideal for data professionals, cloud architects, and IT specialists with experience in AWS analytics services and data solutions.
					 Is prior AWS experience required to enrol in this course? 
							
			
			
		
						
				While there are no formal prerequisites, it is recommended that learners have at least two years of hands-on experience with AWS analytics tools and five years in data-related roles.
					 What is the format of the certification exam? 
							
			
			
		
						
				The DAS-C01 exam consists of multiple-choice and multiple-response questions, designed to assess practical knowledge of AWS analytics services and architecture.
					 Can I take this course online or only in person? 
							
			
			
		
						
				Yes, the course is available both in-person at training centres and live virtual online, offering flexibility to suit different learning preferences.
Our Partnership
Reliable certification testing is vital for validating professional skills in today’s tech-driven world. As a Pearson VUE Authorised Centre, we provide a secure environment for globally recognised IT exams. This partnership ensures convenient access to certifications with the highest standards of integrity and accuracy.
$124,000
Average annual salary for AWS Certified Data Analytics professionals in Australia (significantly higher than the national IT average).
78%
Employers indicate AWS Data Analytics certification is preferred or required for cloud and data-focused roles.
11.2%
Year-on-year growth in job opportunities for AWS-certified data analytics professionals.
150,000+
Active AWS Certified Data Analytics – Speciality certification holders worldwide.
5,200+
Australian companies recognise or employ AWS-certified data analytics specialists.
98%
Student satisfaction rate from our AWS certification training programs.
Our Accreditations













