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To pursue data science, you should be comfortable with math, especially algebra, calculus, and statistics. You'll need to learn programming languages like Python or R for data analysis and manipulation. Understanding databases and SQL helps with handling data. Familiarity with machine learning concepts and data visualization techniques is also important. Additionally, critical thinking skills and domain knowledge in areas like finance or healthcare are beneficial. Continuous learning and curiosity are key to mastering data science.
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To pursue data science, you should be comfortable with math, especially algebra, calculus, and statistics. You'll need to learn programming languages like Python or R for data analysis and manipulation. Understanding databases and SQL helps with handling data. Familiarity with machine learning concepts and data visualization techniques is also important. Additionally, critical thinking skills and domain knowledge in areas like finance or healthcare are beneficial. Continuous learning and curiosity are key to mastering data science.
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