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 ### Course Description
 
-Data analysis using statistical models and algorithms (e.g., linear and logistic regression, peeking, bandit, and variable selection algorithms) in case studies from different disciplines. Generative versus out-of-sample predictive models. Reproducible and transparent workflows for computer scripts and reports.
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-Class notes by Gabriela Cohen Freue can be found [here](https://ubc-stat.github.io/stat301book/intro.html)
+Data analysis using statistical models and algorithms (e.g., linear and logistic regression, peeking, bandit, and variable selection algorithms) in case studies from different disciplines. Generative versus out-of-sample predictive models. Reproducible and transparent workflows for computer scripts and reports. Class notes by Gabriela Cohen Freue can be found [here](https://ubc-stat.github.io/stat301book/intro.html)