Introduction to Data Engineering - Application to Healthcare

Overview

Learn fundamental data engineering principles specifically applied to healthcare environments, covering data collection, cleaning, preprocessing, transformation, storage, and management techniques for health data. Master the interpretation of healthcare data sources and develop practical skills in building data pipelines that prepare raw health data for analysis. Execute data quality assurance processes and implement organizational strategies for maintaining healthcare datasets. Demonstrate proficiency in the complete data preparation workflow from collection through analysis-ready formats, while understanding the unique challenges and requirements of working with health-related information systems.

Syllabus

Interpret the concepts of data collection and preparation in a healthcare environment.
Apply data cleaning and preprocessing pipeline to prepare raw health data for analysis.
Explain the fundamental principles of data engineering within the context of a healthcare environment.
Categorise various data sources relevant to healthcare data engineering.
Execute data transformation techniques to ensure data quality and utility.
Illustrate the methods of data storage and management specific to healthcare data.
Implement data management techniques to organise and maintain healthcare data.
Apply data cleaning and preprocessing pipelines to prepare raw health data for analysis
Summarise the steps involved in preparing data for analysis in a healthcare setting.
Demonstrate the concepts of data collection and preparation in a healthcare environment.
Develop skills with data collection, storage, and processing of data