The AWS Certified Data Analytics – Specialty was designed for professionals who wanted to demonstrate advanced expertise in designing, building, securing, and maintaining analytics solutions on AWS. The certification covered the complete data lifecycle, including data collection, storage, processing, analysis, and visualization.

Important: AWS retired the AWS Certified Data Analytics – Specialty certification on April 9, 2024. It is no longer available for new examination attempts. AWS introduced AWS Certified Data Engineer – Associate as a current certification aligned more closely with data engineering roles.

If your e-learning website still offers this course, it is best positioned as AWS Certified Data Analytics – Specialty Training / Legacy Exam Preparation, rather than advertising it as a currently available certification exam.

Why Learn AWS Data Analytics?

Modern organizations generate massive volumes of data and increasingly rely on cloud platforms to collect, process, analyze, and visualize that information.

Training based on the AWS Data Analytics – Specialty objectives can help professionals develop advanced knowledge of AWS analytics services and understand how different services work together to create scalable data solutions.

Key Benefits

Develop advanced AWS data analytics knowledge
Understand cloud-based analytics architectures
Learn data collection and ingestion techniques
Understand data lakes and data warehouses
Learn batch and real-time data processing
Develop data transformation and ETL skills
Understand data security and governance
Learn data visualization concepts
Work with large-scale data environments
Develop cloud data architecture knowledge
Strengthen AWS and data engineering expertise
Prepare for advanced cloud data roles

Who Should Take This Training?

This training is best suited to professionals who already have experience with data analytics, cloud technologies, or AWS services.

Recommended For

Data Engineers
Data Analysts
Cloud Data Engineers
AWS Cloud Professionals
Data Scientists
Business Intelligence Professionals
Solutions Architects
Database Professionals
Big Data Engineers
Cloud Architects
Analytics Engineers
Software Engineers
IT Professionals
Cloud Computing Professionals

AWS described the former Specialty credential as targeting candidates with substantial experience in data analytics technologies and AWS services.

Certification Overview

Certification	AWS Certified Data Analytics – Specialty
Certification Body	Amazon Web Services (AWS)
Level	Specialty
Focus Area	Cloud Data Analytics
Exam Code	DAS-C01
Core Areas	Collection, Storage, Processing, Analysis & Visualization
Status	Retired
Retirement Date	April 9, 2024
Current Alternative	AWS Certified Data Engineer – Associate

The former certification covered a broad range of analytics capabilities and was designed to validate knowledge of designing, building, securing, and maintaining AWS analytics solutions.

AWS Data Analytics Course Modules

Module 1: AWS Data Analytics Fundamentals

Build a strong understanding of cloud-based data analytics and the AWS analytics ecosystem.

Topics Covered:

Cloud data analytics
Data analytics lifecycle
AWS analytics architecture
Structured and unstructured data
Data-driven decision-making
Analytics workloads
AWS analytics services
Data lifecycle management

Module 2: Data Collection & Ingestion

Learn how data is collected and transferred into AWS analytics environments.

Topics Covered:

Data ingestion
Batch data collection
Real-time data collection
Streaming data
Amazon Kinesis
Amazon MSK
AWS Database Migration Service
Data pipelines
Data integration
Ingestion architecture

Module 3: Data Storage

Understand how AWS services support scalable storage for analytical workloads.

Topics Covered:

Amazon S3
Data lakes
Amazon Redshift
Data warehouses
Storage architectures
Data partitioning
Storage optimization
Data lifecycle
Storage security

Module 4: Data Processing

Learn how to process large datasets using AWS services.

Topics Covered:

Batch processing
Stream processing
Amazon EMR
AWS Glue
Amazon Kinesis
Distributed processing
Data transformation
Processing optimization
Scalable data processing

Module 5: ETL & Data Transformation

Develop knowledge of extracting, transforming, and loading data for analytics.

Topics Covered:

ETL concepts
Data extraction
Data transformation
Data loading
AWS Glue
Data cleansing
Schema management
Data pipelines
Data cataloging
Workflow automation

Module 6: Data Lakes & Data Warehousing

Learn modern cloud data architecture concepts and AWS storage solutions.

Topics Covered:

Data lake architecture
Data warehouse architecture
Amazon S3
Amazon Redshift
AWS Lake Formation
Data catalogs
Schema design
Partitioning
Query optimization
Data governance

Module 7: Data Analysis & Querying

Learn how AWS services can be used to explore and analyze large datasets.

Topics Covered:

SQL analytics
Amazon Athena
Amazon Redshift queries
Data exploration
Filtering and aggregation
Query optimization
Analytical workloads
Data analysis
Performance considerations

Module 8: Data Visualization

Learn how analytical results can be transformed into meaningful visual insights.

Topics Covered:

Data visualization
Amazon QuickSight
Business intelligence
Interactive dashboards
KPIs
Reports
Data storytelling
Visualization techniques
Business insights

Module 9: Data Security & Governance

Understand how to protect data throughout the analytics lifecycle.

Topics Covered:

Data security
AWS IAM
Encryption
Access management
Data privacy
Governance
Compliance
Monitoring
Auditing
Security best practices

Module 10: Analytics Architecture & Optimization

Learn how AWS analytics services work together to create scalable and efficient solutions.

Topics Covered:

Analytics architecture
High availability
Scalability
Performance optimization
Cost optimization
Reliability
Service integration
Architecture best practices
Real-world analytics scenarios

AWS Services Covered

The former AWS Certified Data Analytics – Specialty objectives included services such as:

Amazon S3
Amazon Redshift
Amazon Athena
AWS Glue
Amazon EMR
Amazon Kinesis
Amazon QuickSight
AWS Lake Formation
Amazon MSK
AWS Database Migration Service
Amazon CloudWatch

AWS's own study guidance identified data collection, storage, processing, and visualization as core areas of the former certification.

Skills You Will Gain

After completing this training, learners can develop knowledge of:

Cloud data analytics
AWS analytics architecture
Data ingestion
Data processing
ETL
Data transformation
Data lakes
Data warehouses
SQL analytics
Data visualization
Business intelligence
Data security
Data governance
AWS data services
Analytics solution design
Cloud data optimization

Career Opportunities

Although the specific certification is retired, the skills covered by this training remain relevant to modern cloud data roles.

Potential Career Roles

Data Engineer
AWS Data Engineer
Cloud Data Engineer
Data Analyst
Cloud Data Analyst
Data Analytics Engineer
Big Data Engineer
Business Intelligence Analyst
Cloud Architect
Data Architect
Analytics Consultant
Cloud Solutions Architect
BI Developer

For learners seeking a current AWS certification, AWS's Certified Data Engineer – Associate is the more appropriate current pathway for data engineering-focused skills. AWS states that this certification validates skills in core AWS data services, data pipelines, and delivering high-quality data for business insights.

Why Choose AWS Data Analytics E-Learning?

Our online AWS Data Analytics Training provides a flexible way to learn advanced cloud data concepts from anywhere.

Learn Anytime, Anywhere

Access your course online and study according to your schedule.

Self-Paced Learning

Learn at your own pace, revisit difficult concepts, and strengthen your AWS knowledge through revision.

Hands-On Learning

Practice AWS analytics concepts through practical exercises, architecture scenarios, and cloud-based case studies.

Real-World Architecture

Understand how AWS services can work together to build scalable data collection, storage, processing, analytics, and visualization solutions.

Career-Focused Learning

Develop transferable cloud data skills relevant to modern data engineering, analytics, business intelligence, and cloud architecture roles.

What You'll Get

Comprehensive AWS Data Analytics training
Expert-led instruction
Self-paced online learning
Live instructor-led sessions
AWS analytics study materials
Practical exercises
Cloud architecture scenarios
Real-world case studies
Data pipeline exercises
Data lake and warehouse concepts
Practice questions
Mock assessments
Revision resources
Learner support
Course completion certificate

Why Is AWS Data Analytics Valuable?

Cloud data platforms have become an important part of modern business infrastructure. Organizations need professionals who understand how to collect, store, process, analyze, secure, and visualize data at scale.

The knowledge covered by the former AWS Certified Data Analytics – Specialty provides a strong foundation for understanding AWS-based data architectures and can complement professional experience in cloud computing, data engineering, analytics, and business intelligence.

Start Your AWS Data Analytics Journey

Ready to build advanced cloud data analytics skills?

Enroll in our AWS Certified Data Analytics – Specialty Training and develop practical knowledge in AWS data lakes, data warehouses, ETL, data processing, data ingestion, SQL analytics, visualization, security, governance, and cloud analytics architecture.

Course Details

Course Overview