AWS CERTIFIED DATA ANALYTICS - SPECIALTY (DAS-C01)
The AWS Certified Data Analytics – Specialty course is designed for professionals who design, build, secure, and maintain analytics solutions on Amazon Web Services (AWS). This course focuses on collecting, processing, storing, and visualizing data at scale using AWS analytics services. Participants will gain deep expertise in data ingestion, transformation, storage, analytics, visualization, and security while learning how to select the appropriate AWS services for different analytics workloads. The course prepares learners for the AWS Certified Data Analytics - Specialty (DAS-C01) certification exam. Course Objectives By the end of this course, participants will be able to: Design scalable and cost-effective AWS analytics architectures Ingest and process batch and streaming data Select appropriate storage and analytics services Implement data security and governance controls Optimize analytics performance and cost Visualize and share analytics insights Prepare effectively for the AWS Data Analytics – Specialty exam
Course Curriculum
1
- Data analytics concepts and lifecycle
- AWS analytics ecosystem overview
- Use cases for data analytics on AWS
2
- Batch data ingestion
- Streaming data ingestion
- Amazon Kinesis (Data Streams, Firehose)
- AWS IoT Analytics (overview)
3
- Amazon S3 as a data lake
- Amazon Redshift
- Amazon DynamoDB
- Choosing the right storage service
4
- AWS Glue
- Amazon EMR
- ETL and ELT patterns
- Schema management and data catalogs
5
- Amazon Athena
- Amazon Redshift Spectrum
- Amazon OpenSearch Service
- Query optimization techniques
6
- Real-time analytics concepts
- Amazon Kinesis Data Analytics
- Stream processing patterns
7
- Amazon QuickSight
- Building dashboards and reports
- Sharing analytics insights
8
- Data encryption and key management
- IAM and access control
- Data governance best practices
- Compliance considerations
9
- Analytics performance tuning
- Cost optimization strategies
- Data lifecycle management
10
- Monitoring analytics pipelines
- Troubleshooting data processing issues
- Reliability and availability best practices
11
- Exam domains and structure
- Scenario-based practice questions
- Exam tips and strategies
12
- Data analysts and data engineers
- Cloud architects working with analytics workloads
- Business intelligence professionals
- Developers working with big data solutions
- Professionals preparing for AWS Data Analytics certification
13
- AWS Certified Cloud Practitioner or equivalent knowledge
- Basic understanding of databases, SQL, and data analytics concepts
- Experience with AWS services is recommended
14
- 4-5 days (Instructor-led)
- 32-40 hours of training
15
- Instructor-led advanced technical sessions
- Hands-on analytics labs
- Real-world data analytics scenarios
- Exam-focused learning approach
16
- This course prepares participants for the AWS Certified Data Analytics - Specialty (DAS-C01) certification exam
17
- Comprehensive training materials
- Hands-on lab guides
- Practice exam questions
- Certificate of course completion
This course includes
- 17+ Activity Modules
- 40 hours + lessons
- Lifetime access
- Certificate of completion
- Available on desktop and mobile
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