A tool for visualizing the coefficients of various regression models, taking into account empirical data distributions.

Exploratory data analysis (univariate and bivariate) to understand the characteristics of the EEG signals. To build and compare several multiple linear regression models to predict the output signal y based on the input signals.

The R code authored below goes through cleaning, visualizing and modeling data as well as some useful simulations for concepts in Research Statistics and markdown reports. Some code is shell code for the participant to complete; some are examples of the completed shell code. For more advanced R methods, see Dashboards_DataScience repo

Statistical time series analysis of hospital data to detect anomalous patterns in patient care metrics, validated against a known incident period.