<ul><li>To begin a journey in Data Science, you need to have knowledge of various key areas.</li><li>Linear Algebra: Understanding the math behind Machine Learning algorithms requires knowledge of Linear Algebra.</li><li>Statistics: Data Science involves analyzing and making meaningful insights from data, which requires knowledge of Statistics.</li><li>SQL: Since real-world data is often stored in databases, knowledge of SQL is required to retrieve and work with data.</li><li>Machine Learning/Deep Learning: Building meaningful models requires understanding and knowledge of ML algorithms.</li><li>MLOps: Deploying and maintaining models in production requires expertise in MLOps.</li><li>Data Visualization: Effective visualization and presentation skills are important to showcase results.</li><li>Value Delivery: Understanding the problem and delivering value is crucial for success in Data Science.</li></ul>

How to begin journey in Data Science?

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