The **Data Analytics and Processing on AWS** course is designed to provide learners with a comprehensive understanding of AWS services used for data analytics, big data processing, data integration, and visualization. This course introduces the core AWS analytics services that enable organizations to ingest, process, analyze, and visualize large volumes of data, helping them build scalable, data-driven solutions in the cloud.

The course covers key services such as Amazon Redshift for data warehousing, Amazon EMR for big data processing, Amazon Kinesis Data Streams and Amazon Data Firehose for real-time data ingestion, AWS Glue for data integration and ETL, Amazon Athena for serverless data querying, Amazon QuickSight for business intelligence and visualization, and Amazon OpenSearch Service for search and analytics. Learners will also gain hands-on experience performing ETL operations using AWS Glue and querying data using Amazon Athena through practical demonstrations. This course is structured into two modules, each containing lessons and video lectures. Learners will engage with approximately **4–6 hours** of video content, combining conceptual understanding with practical demonstrations of AWS analytics and data processing services. Each module includes quizzes to reinforce learning and validate understanding of key concepts. **Course Modules:** **Module 1:** Data Analytics and Processing Services on AWS **Module 2:** AWS Data Integration, Analytics, and Visualization By the end of this course, a learner will be able to: * Understand the core AWS services used for data analytics and big data processing. * Process large-scale datasets using Amazon EMR and Amazon Redshift. * Implement real-time data ingestion using Amazon Kinesis Data Streams and Amazon Data Firehose. * Build and automate ETL pipelines using AWS Glue. * Query data efficiently using Amazon Athena. * Create interactive dashboards and visualizations using Amazon QuickSight. * Implement search and analytics solutions using Amazon OpenSearch Service. * Apply AWS best practices for building scalable and efficient analytics workflows. This course is ideal for data engineers, data analysts, cloud engineers, solutions architects, and IT professionals looking to develop foundational skills in AWS analytics and data processing services. It also provides the knowledge required to build modern analytics solutions and supports preparation for AWS data engineering and analytics-focused roles.