AWS Certified Data Analytics – Specialty (DAS-C01)
Best AWS certified Data Analytics - Specialty (DAS-C01) Training Courses in Coimbatore
The AWS Certified Data Analytics – Specialty (DAS-C01) is an advanced certification intended for professionals who design and manage analytics solutions on AWS. This course is perfect for those with experience in data engineering, data science, or big data analytics who want to deepen their expertise in AWS analytics tools.
At our Linux Training Center in Coimbatore, we deliver an intensive curriculum covering data collection, storage, processing, visualization, and security. You’ll work with AWS tools like Glue, Athena, Kinesis, Redshift, QuickSight, and more, building end-to-end solutions for real-world analytics problems.
Who Should Enroll?
Data analysts and data engineers
Business intelligence professionals
Professionals experienced with AWS data services
Anyone preparing for DAS-C01 certification
What You Will Learn
Designing data lakes and analytics pipelines
Integrating services like S3, Glue, EMR, and Redshift
Real-time analytics with Kinesis and streaming data
Querying with Athena and visualization using QuickSight
Securing, monitoring, and optimizing data workflows
Best practices for cost-effective analytics solutions on AWS
Course Benefits
Hands-on training with real-time data scenarios
In-depth DAS-C01 exam preparation
Exposure to full AWS data analytics stack
Industry-relevant case studies and lab exercises
Post-training support and placement guidance
Career Opportunities
This certification prepares you for high-demand roles such as:
AWS Data Analyst
Big Data Engineer
Analytics Solutions Architect
Business Intelligence Engineer
AWS Certified Data Analytics - Specialty (DAS-C01) Syllabus
Domain 1: Collection
- 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
Domain 2: Storage and Data Management
- 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
Domain 3: Processing
- Determine appropriate data processing solution requirements
- Design a solution for transforming and preparing data for analysis
- Automate and operationalize a data processing solution
Domain 4: Analysis and Visualization
- 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
Domain 5: Security
- Select appropriate authentication and authorization mechanisms
- Apply data protection and encryption techniques
- Apply data governance and compliance controls
