AWS Data Analytics
AWS Data Analytics
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Program Description
This AWS Big Data certification course covers cloud computing concepts, AWS big data storage, processing, analysis, security, and machine learning. Aligned with the AWS Certified Data Analytics Specialty exam, it prepares you to host and analyze big data using AWS services like Kinesis Analytics, QuickSight, Lambda, Glue, S3, DynamoDB, Redshift, and Hive on EMR.
Learning Outcomes
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Cloud-Based Big Data Processing
Learn to host and manage big data on AWS using services like S3, DynamoDB, Redshift, and Hive on EMR.
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Data Analysis & Visualization
Master data processing, analytics, and visualization with AWS tools such as Kinesis Analytics, QuickSight, and Glue.
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Security & Machine Learning Integration
Implement AWS security best practices and leverage machine learning algorithms for advanced data insights.
Delivery Models
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Sel-paced Learning
- Explore course materials at your own pace.
- No mandatory attendance for live sessions.
- Benefit from pre-recorded live training videos uploaded to the student portal one week after each class.
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Live-Virtual Classroom
- All students have access to live online training sessions.
- Students must participate in 80% of live training to receive credit for the course.
- Student services will assist in aligning your dates with a cohort.
Course Features
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Expert-Led Training & Certification
Gain comprehensive AWS Data Analytics training with an included exam voucher to help you achieve certification.
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Hands-On Learning & Real-World Application
Work on practical projects using AWS services like Kinesis Analytics, QuickSight, Lambda, Glue, S3, and Redshift.
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Flexible & Industry-Aligned Training
Learn from industry experts with interactive sessions, real-time case studies, and AWS-certified course material.
Prerequisites
Learners need to possess an undergraduate degree or a high school diploma. Participants in this AWS Data Analytics certification course should have basic knowledge of AWS technical essentials and a fair understanding of big data and Hadoop concepts.