AWS: Data Analytics
Master AWS data integration systems, analytics platforms, and machine learning services for comprehensive cloud-based data solutions and implementations.
Master AWS data integration systems, analytics platforms, and machine learning services for comprehensive cloud-based data solutions and implementations.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
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What you'll learn
Configure and manage AWS Glue for ETL operations
Analyze petabyte-scale data using Amazon Athena
Implement streaming analytics with Amazon Kinesis
Develop data lakes using AWS Lake Formation
Visualize data using Amazon QuickSight
Integrate machine learning with Amazon SageMaker
Skills you'll gain
This course includes:
1.9 Hours PreRecorded video
6 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 3 modules in this course
This comprehensive course focuses on AWS data analytics services and tools. Students learn to integrate data from multiple sources using AWS Glue, analyze data with Amazon Athena, and process streaming data using Amazon Kinesis. The curriculum covers essential topics including data lake management, ETL processes, and real-time analytics using Apache Flink. Through hands-on labs and practical examples, learners gain experience with AWS analytics services and machine learning tools like Amazon SageMaker and QuickSight.
Data Integration in AWS
Module 1 · 2 Hours to complete
Amazon Athena and Amazon EMR in AWS
Module 2 · 2 Hours to complete
Data Analytics and ML in AWS
Module 3 · 1 Hours to complete
Fee Structure
Instructor
Empowering Future Innovators Through Hands-On STEM Learning
Whizz Education partners with educational stakeholders to implement changes to education and accelerate learning, using the "Maths-Whizz" platform1. The organization designs large-scale implementations that are adaptable to different environments and aligned with national curricula
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.