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Foundations of Data Science
Given the growth in data, storage and processing capacity, data science is increasingly relevant to everyday life. A grounding in data science positions young people on a path to becoming informed citizens.
Based on materials released by the University of California, Berkeley, this two-semester course will cover statistics and the use of Python programming to analyze data.
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Format: Small group – 4 to 8 students
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Duration: 70 minutes
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Grades: Middle – High
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Prerequisites: No prior knowledge of statistics or computer science is required
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Textbook: Computational and Inferential Thinking: The Foundations of Data Science (free online)
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Materials Needed: Students need a computer with web access
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Recommended Effort: 2.5 – 5 hours per week beyond weekly class
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