Exploratory Data Analysis in AWS
Master AWS data streams and analytics services, including Kinesis, AWS Glue, and QuickSight for comprehensive data analysis and visualization.
Master AWS data streams and analytics services, including Kinesis, AWS Glue, and QuickSight for comprehensive data analysis and visualization.
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 MLS-C01: AWS Certified Specialty Machine Learning 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
Implement Kinesis Data Streams for real-time data processing
Create and manage AWS Glue crawlers and transform jobs
Analyze and visualize data using AWS analytics services
Work with Amazon EMR for big data processing
Master Amazon QuickSight for data visualization
Skills you'll gain
This course includes:
3.22 Hours PreRecorded video
6 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 2 modules in this course
This course, the second in the AWS Certified Machine Learning Specialty specialization, focuses on data streams and analytics services in AWS. Students learn to analyze and implement Kinesis Data Streams, work with AWS Glue for ETL operations, and use various AWS analytics services. The curriculum covers approximately 2-2.5 hours of video lectures combining theoretical knowledge with hands-on demonstrations, including practical implementations of data streaming systems and analytics tools.
Introduction to Data Streams and Data Analytics services in AWS
Module 1 · 3 Hours to complete
Exploring Data Analysis in AWS
Module 2 · 2 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
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