What is the AWS Certified Data Analytics – Specialty Certification?
The AWS Certified Data Analytics – Specialty (DAS-C01) certification validates advanced expertise in designing and implementing AWS services to derive insights from data. It focuses on building scalable, secure, and cost-effective analytics solutions using AWS tools like Amazon Redshift, Kinesis, Glue, EMR, Athena, and QuickSight.
The exam consists of 65 multiple-choice and multiple-response questions, lasts 180 minutes, and requires a passing score of 750 out of 1000. It’s designed for professionals with 5+ years of data analytics experience and at least 2 years of hands-on AWS experience.
Why is the AWS Data Analytics Certification so Popular?
Data-driven decision-making is at the heart of modern business strategy. AWS dominates the cloud market, and organisations increasingly rely on AWS for big data analytics. This certification is popular because:
- It’s globally recognised and highly valued by employers.
- It validates specialised skills in data analytics and AWS services.
- It’s a stepping stone to senior roles in data engineering and analytics.
Is the AWS Data Analytics – Specialty Worth It Today?
Yes especially if you’re aiming for roles in data engineering, analytics architecture, or big data solutions. The certification helps you:
- Validate your AWS expertise in data collection, storage, processing, and visualization.
- Boost your resume for cloud-focused analytics roles.
- Increase earning potential, as AWS-certified professionals are among the highest paid in IT.
However, it’s not for beginners. Employers expect hands-on experience alongside certification. Combining AWS certification with practical projects will maximise its impact.
Pros of AWS Data Analytics – Specialty Certification
1. Job Availability
Cloud adoption and big data analytics are accelerating across industries. AWS-certified professionals are in high demand for roles such as Data Engineer, Analytics Architect, and BI Specialist.
2. AWS Salary Potential
In Australia, AWS-certified data professionals earn an average of AUD $130,000–$160,000 annually, with senior roles exceeding AUD $180,000. Globally, AWS Data Analytics specialists can earn USD $115,000–$167,000, and advanced roles may reach USD $257,000.
3. Global Recognition
AWS certifications are recognised worldwide, making them ideal for professionals seeking international opportunities.
4. Career Pathways
This certification opens doors to roles such as:
- Data Engineer
- Big Data Architect
- Analytics Specialist
It also serves as a foundation for advanced certifications like AWS Machine Learning – Specialty and AWS Solutions Architect – Professional.
Cons of AWS Data Analytics – Specialty Certification
1. Cost Considerations
The exam costs USD $300 (approx. AUD $470). Additional costs for training, practice exams, and study materials can bring the total investment to AUD $1,500–$2,500.
2. Evolving Industry Demands
Data analytics is fast-changing. While AWS is dominant now, staying relevant means continuous learning and possibly earning additional certifications.
3. Certification Difficulty
The exam is considered one of the most challenging AWS certifications, requiring deep knowledge of AWS services and data lifecycle concepts. It’s scenario-based, not just memorisation.
Where to Begin to Get Your AWS Data Analytics Certification
Start with AWS Skill Builder and official exam readiness courses. For structured learning, consider instructor-led training from authorised providers like Logitrain. Hands-on practice with AWS services such as S3, Glue, Redshift, Kinesis, and QuickSight is essential.
Key Topics Covered in AWS Data Analytics – Specialty
The exam covers five main domains:
- Data Collection (18%): Kinesis, IoT, Data Pipeline
- Storage & Data Management (22%): S3, Redshift, Lake Formation
- Processing (24%): EMR, Glue, ETL pipelines
- Analysis & Visualization (18%): Athena, QuickSight
- Security (18%): IAM, KMS, compliance controls
Is AWS Data Analytics Enough to Get a Job?
Not by itself. While the certification helps your resume stand out, employers also look for practical experience and skills in data engineering, ETL, and BI tools.
Is AWS Data Analytics Worth It in Australia?
Absolutely. Many Australian job postings list AWS certification as a mandatory requirement for cloud and analytics roles. It’s especially valuable for professionals transitioning into big data and cloud analytics.
Does Having AWS Certification Pay Well?
Yes. Certified professionals often earn 20–30% more than non-certified peers in similar roles.
Is the AWS Data Analytics Exam Very Difficult?
It’s challenging. Expect scenario-based questions that test your ability to design solutions, not just recall services. Strong knowledge of AWS analytics services and architectural best practices is critical.
Is the AWS Certification Stressful?
Preparation can be intense, especially if you’re new to AWS analytics. However, with structured study and practice exams, most candidates feel confident by exam day.
How Many Fail AWS Data Analytics?
While official pass rates aren’t published, anecdotal evidence suggests a high first-time failure rate, often due to lack of hands-on experience and inadequate preparation.
The Future of Data Analytics Jobs in Australia
The demand for cloud and data professionals is projected to grow significantly as businesses migrate to AWS and adopt big data solutions. Certifications like AWS Data Analytics will remain relevant, especially when combined with practical skills and advanced learning paths.