Data Engineering in AWS
Master comprehensive data engineering fundamentals in AWS, including data gathering, preprocessing, and feature engineering for machine learning applications.
Master comprehensive data engineering fundamentals in AWS, including data gathering, preprocessing, and feature engineering for machine learning applications.
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.
3.4
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What you'll learn
Understand and implement various data gathering techniques
Analyze and handle missing data effectively
Implement feature extraction with Principal Component Analysis
Master feature selection using Variance Thresholds
Set up and utilize Amazon SageMaker environment
Skills you'll gain
This course includes:
2.35 Hours PreRecorded video
7 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 2 modules in this course
This comprehensive course is the first in the AWS Certified Machine Learning Specialty specialization, focusing on essential data engineering concepts and practices in AWS. Students learn various data gathering techniques, methods for handling missing data, and advanced feature engineering using Principal Component Analysis and Variance Thresholds. The course combines theoretical knowledge with hands-on practice through SageMaker Jupyter Notebooks, providing approximately 2.5-3 hours of video lectures covering both theory and practical implementation.
Introduction to Data Engineering
Module 1 · 1 Hours to complete
Feature extraction and feature selection
Module 2 · 3 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
Testimonials
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3.4 course rating
14 ratings
Frequently asked questions
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