Description:
This course prepares participants for the AWS Certified Data Analytics – Specialty (DAS-C01) exam by covering all key domains. It equips learners with the knowledge to design, implement, and maintain data analytics solutions using AWS services. Participants will explore topics such as data collection, storage, processing, analysis, and visualization.
The course emphasizes practical application, with hands-on labs and real-world scenarios to ensure participants are well-prepared to leverage AWS services for end-to-end data analytics workflows and succeed in the certification exam.
For Certification based Assistance and Mock quizzes please visit: https://certify360.ai/
Duration: 3 Days
Course Code: BDT419
Learning Objectives:
After completing this course, participants will be able to:
- Understand the key domains of the AWS Certified Data Analytics Specialty exam.
- Design and manage scalable data lakes on AWS.
- Implement data collection, ingestion, and storage solutions.
- Process data with AWS analytics tools like Glue, EMR, and Kinesis.
- Analyse data using Amazon Redshift and Quick Sight.
- Ensure security, governance, and compliance in analytics workflows
- Business Professionals, Data Analysts, Software Developers, IT Managers, Data Engineers, Data Scientist, Solutions Architects, Professionals preparing for the AWS Certified Data Analytics – Specialty exam.
- Foundational knowledge of AWS services
- Experience with data analytics workflows and tools
- Familiarity with databases and big data technologies.
Course Outline:
- Introduction to AWS Data Analytics
- Overview of AWS Certified Data Analytics Specialty Exam
- Exam domains and objectives
- Study resources and tips.
- AWS Data Analytics Services Overview
- Key services: S3, Glue, EMR, Redshift, Quick Sight, Kinesis
- Setting Up the AWS Environment
- AWS CLI, SDKs, and IAM configuration