Data Collection, Storage, and Preparation

Topics Covered

• This module focuses on preparing high-quality datasets for machine learning. Participants will learn how to collect, clean, transform, catalog, and store structured and unstructured data using AWS analytics services. Emphasis is placed on data quality, preprocessing, feature engineering, and building reliable datasets for model development.

Topics Covered

• Amazon S3 Data Storage
• AWS Glue Data Catalog
• AWS Glue ETL
• Amazon Athena
• Amazon EMR
• Data Cleaning Techniques
• Feature Engineering
• Data Transformation
• Data Validation