Confused about which data career path to choose? Here’s a simple breakdown to help you find your fit!

 


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!

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