This workshop will cover theory and techniques for maximizing the effectiveness of figures used for visualizing information.

Sign up for our mailing list!

Research on Data Science Career Paths

This workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT.

This hands on workshop builds on part 1 by introducing the basics of Python's scikit-learn package to implement unsupervised text analysis methods.

This is a six-hour tutorial on machine learning in R that covers data preprocessing, cross-validation, ordinary least squares regression, lasso, decision trees, random forest, xgboost, a

This is a six-hour tutorial on machine learning in R that covers data preprocessing, cross-validation, ordinary least squares regression, lasso, decision trees, random forest, xgboost, a

This is a six-hour tutorial on machine learning in R that covers data preprocessing, cross-validation, ordinary least squares regression, lasso, decision trees, random forest, xgboost, a

This session focuses on explaining the proces of creating, organizing, and applying codes within the context of qualitative research.

This session introduces qualitative research, and is recommended for folks who are new to research in general or to qualitative research in particular.

The agenda will be as follows: