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To dive into data science, start by learning key statistics and mathematics, essential for analyzing data. Master programming languages like Python or R, which are crucial for data manipulation and analysis. Get skilled at using data visualization tools to interpret and present data insights effectively. Familiarize yourself with basic machine learning concepts and apply them using popular libraries like scikit-learn. Practice your skills on real-world datasets available on platforms like Kaggle. Work on personal projects to gain hands-on experience, and stay updated by following industry trends. This foundational knowledge will set you up for success in data science.
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