o learn data science as a beginner, start with Python and R, focusing on libraries like Pandas, NumPy, and Matplotlib. Learn statistics, probability, and linear algebra fundamentals. Take online courses from Coursera, Uncodemy , or DataCamp. Work on real-world projects using datasets from Kaggle. Understand machine learning basics with Scikit-learn. Practice SQL for data handling. Read books like “The Data Science Handbook.” Join communities like GitHub, Reddit, and LinkedIn. Participate in hackathons and competitions. Most importantly, apply what you learn through hands-on projects and continuously refine your skills by staying updated with industry trends.

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