Data Analysis I

Introduction to Statistics with R.  Descriptive statistics. Probability.  Confidence intervals. Hypothesis tests. Association & correlation. Regression.

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Data Analysis II

Advanced topics in linear regression. Maximum likelihood estimation. Binary data. Count data. Survival analysis.

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