What's the difference between a Data Scientist, Data Engineer, and Data Analyst?
Dive into the world of data transformation and discover how different organizations handle data processing across various systems! Using real-world examples from healthcare systems, learn about the critical processes of data normalization and the key roles in the data ecosystem.
⏱ Timeline:
00:00 - Introduction
03:08 - Data Transformation Basics
03:33 - Healthcare Data Examples
04:29 - Data Engineering Overview
04:58 - Data Management & Governance
05:33 - Reporting & Business Intelligence
05:58 - Data Science & ML Engineering
07:16 - Model Deployment & Cloud Solutions
💡 What You'll Learn:
Real-world examples of data transformation needs
How to handle different time zones in data
Temperature conversion across systems
Key roles in the data ecosystem:
Data Engineers
Data Analysts
Business Intelligence Analysts
Data Scientists
Machine Learning Engineers
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