Data Engineering in AWS
- Offered byCoursera
Data Engineering in AWS at Coursera Overview
Duration | 4 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Data Engineering in AWS at Coursera Highlights
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 1 of 5 in the Exam Prep MLS-C01: AWS Certified Specialty Machine Learning Specialization
- Beginner Level Minimum two year of hands-on experience in architecting, building or running ML/deep learning workloads on the AWS Cloud.
- Approx. 4 hours to complete
- English Subtitles: English
Data Engineering in AWS at Coursera Course details
- Data Engineering in AWS is the first course in the AWS Certified Machine Learning Specialty specialization. This course helps learners to analyze various data gathering techniques. They will also gain insight to handle missing data. This course is divided into two modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 2:30-3:00 Hours Video lectures that provide both Theory and Hands -On knowledge. Also, Graded and Ungraded Quiz are provided with every module in order to test the ability of learners.
- Module 1: Introduction to Data Engineering
- Module 2: Feature extraction and feature selection
Data Engineering in AWS at Coursera Curriculum
Introduction to Data Engineering
Welcome to the AWS Machine Learning Specialty Certification Exam course
Outline of the course
The exam
Goals of the course
Machine learning terminology - Data Engineering-Part 1
Machine learning terminology - Data Engineering-Part 2
Introduction-Part 1
Introduction-Part 2
Setting up SageMaker Jupyter Notebooks
Gathering data
Handling Missing Data - Overview and Drop Technique
Handling Missing Data - Other Imputation Techniques-Part 1
Handling Missing Data - Other Imputation Techniques-Part 2
Course Outline
Introduction to Data Engineering Overview
Introducing Data Gathering Techniques Knowledge
Week 1 Assessment
Feature extraction and feature selection
Feature extraction and feature selection with Principal Component Analysis and Variance Thresholds
Feature Extraction and Selection - Lab Part 1
Feature Extraction and Selection - Lab Part 2
Encoding categorical values-Part 1
Encoding categorical values-Part 2
Numerical engineering-Part 1
Numerical engineering-Part 2
Text feature editing
AWS Migration services and tools
Exam tips
Feature extraction and feature selection Overview
Feature extraction, feature selection with Principal Component Analysis and Variance Thresholds Knowledge Test
Other Features Knowledge Test
Week 2 Assessment
Overall Course Assessment Quiz
Data Engineering in AWS at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
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