Welcome to your comprehensive introduction to Data Engineering, a foundational course designed to enhance your understanding of this pivotal field and the essential role of a Data Engineer within Data Science. You'll start with insights into my professional journey and experience, setting the stage for an engaging learning experience.
The Data Science Ecosystem
Key Roles in Data Science
Discover the integral professions within the Data Science landscape, including Data Scientists, Data Analysts, Machine Learning Engineers, and more. We'll explore the specific skills required, day-to-day tasks, and how these roles interconnect to drive data-driven success.
The Data Engineer's Profession and Skills
Understanding Data Engineers: Gain clarity on who Data Engineers are, what they accomplish, who they serve, and the crucial skills and tools they employ. Learn about their workflow, the architecture of data platforms, and toolsets utilized across various stages of data pipeline development. You will also get insights into salary expectations for Data Engineers.
Machine Learning Integration
The Machine Learning Lifecycle
Explore the standard processes of machine learning, focusing on model training and production deployment. We will identify the Data Engineer's role within this lifecycle, including their contributions to data handling and model management.
Project Dynamics in Data Science and Engineering
Understanding Project Context and Phases
Analyze the business context of Data Science and Engineering projects, delving into goal-setting responsibilities, project phases—emphasizing the MVP (Minimum Viable Product) phase—and the structuring of analytical processes.
