Data Engineering in AWS

Data Engineering in AWS is a foundational course in the AWS Certified Machine Learning Specialty specialization. Throughout the course, learners will gain insights into various data gathering techniques and how to analyze and handle missing data effectively. With a focus on hands-on learning, the course delves into feature extraction and selection using Principal Component Analysis and Variance Thresholds.

The course is divided into two modules. Module 1, "Introduction to Data Engineering," covers topics such as setting up an Amazon Sagemaker environment, data gathering techniques, handling missing data, and an overview of data engineering. Module 2, "Feature extraction and feature selection," explores techniques such as encoding categorical values, numerical engineering, and text feature editing. Learners will also gain practical knowledge through a project involving performing ETL operations in Glue with S3.