Course Overview
The AWS Certified Data Analytics – Specialty (DAS-C01) course by Stalwart Learning is designed for professionals looking to enhance their expertise in data analytics on AWS. This advanced course covers topics such as data collection, storage, processing, and visualization using AWS services like Redshift, EMR, Kinesis, and QuickSight. Participants will learn to design scalable, secure, and cost-optimized analytics solutions while implementing best practices for big data workflows. With practical labs and real-world scenarios, this course prepares learners for the DAS-C01 certification and equips them to excel in data-driven roles.
Duration
40 hours (5 days)
Prerequisites
- Experience with AWS services related to data analytics.
- Familiarity with data analytics tools and processes (recommended).
Course Outline
1. Introduction to AWS Data Analytics
- Overview of AWS analytics services
- Understanding the data analytics lifecycle
2. Data Collection and Ingestion
- Using AWS Kinesis for real-time data streaming
- Integrating data with AWS Glue and Data Pipeline
3. Data Storage Solutions
- Designing data lakes with S3 and Lake Formation
- Understanding Redshift for data warehousing
4. Data Processing and Transformation
- Processing large datasets with AWS EMR and Glue
- ETL workflows and data transformation best practices
5. Data Visualization and Insights
- Building dashboards with AWS QuickSight
- Visualizing data for business intelligence
6. Security and Compliance in Analytics
- Data encryption with KMS
- IAM policies and securing data pipelines
7. Optimizing Performance and Cost
- Scaling analytics solutions for large datasets
- Cost optimization strategies for big data workflows
8. Exam Preparation and Practice Tests
- DAS-C01 exam structure and study tips
- Mock exams and scenario-based questions