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Learn about experimental design, and how to explore your data to ask and answer meaningful questions.
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This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.
Learn to perform linear and logistic regression with multiple explanatory variables.
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.
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