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Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.
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Learn to perform linear and logistic regression with multiple explanatory variables.
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.
This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.
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