Statistics was the only course that I got an A in the first year, so naturally I wanted to take the follow-up course to keep my streak going...
The course covered a lot of advanced statistical methods, such as Cross Validation, LASSO, Splicing, Neural Network, and many others. It is about 50% lecture and 50% lab. Since many of the methods require complex modeling and calculation, we also learned to use a statistical package called R. The final project is about looking for interesting data sets and use the learned methods to look for trends and predictions. Overall it's a good course to learn to grasp trends through looking at data and identifying relevant variables. It's a good way to validate one's business intuition with numbers
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