To start in data science, begin with foundational skills in programming (Python or R), statistics, and data manipulation (SQL). Familiarize yourself with machine learning concepts and tools (scikit-learn, TensorFlow). Practice by working on projects with real datasets from platforms like Kaggle or GitHub. Continuous learning through online courses (Coursera, Uncodemy) and reading relevant books (e.g., “Python for Data Analysis” by Wes McKinney) is crucial. Networking with professionals via forums (like Stack Overflow, Reddit) and attending meetups enhances your knowledge and job prospects. Build a strong portfolio showcasing your projects and skills. Persistence and curiosity are key to mastering data science.
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