The world of data is vast, but knowing the difference between these roles can save you months of confusion and help you focus your learning smartly: 1. Data Analyst You turn raw data into clear insights for decision-making. Best for: Curious minds who love patterns and dashboards. 2. Data Scientist You build predictive models and uncover trends using statistics and machine learning. Best for: Problem-solvers with a knack for coding and math. 3. Business Analyst You bridge the gap between data and business goals. Best for: Communicators who enjoy analysis and strategy. 4. ML Engineer You take machine learning models and make them work reliably at scale. Best for: Coders who love automation, systems, and efficiency. 5. Genai Engineer You develop AI-powered applications for creativity, automation, and user personalisation. Best for: Explorers eager to build the future with AI. Start where your interests lie, but keep evolving—these roles often overlap!