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Learn to analyze and model customer choice data in R.
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Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.
This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.
Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.
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