October 14 @ 12:00 PM - 1:00 PM Careers in Law, Government & Policy Online via Zoom Gain insights into careers in Law, Government, and Policy from a panel of current students and recent alumni. For more information register for this virtual panel!
October 14 @ 1:00 PM - 3:00 PM R Machine Learning with tidymodels: Part 1 of 2 Online via Zoom This two-part workshop provides an introduction to machine learning algorithms using the tidymodels package. It covers what machine learning is, which problems it is most and least equipped to address, and explores the tidymodels framework to fit supervised machine learning models in R. Addressing machine learning problems requires a deep conceptual understanding of the material. While the workshop will cover coding in R, it will also dedicate a significant portion of the time to motivating machine learning techniques. By the end of the workshop, learners should feel prepared to explore machine learning approaches for their own data problems. This workshop does not cover unsupervised machine learning techniques. To learn more register for this workshop!
October 14 @ 2:00 PM - 4:00 PM R Geospatial Fundamentals: Part 1 of 3 Online via Zoom Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The R programming language is a great platform for exploring these data and integrating them into your research. This workshop focuses on fundamental operations for reading, writing, manipulating and mapping vector data, which encodes location as points, lines and polygons. Register to hear more about R's Geospatial Fundamentals
October 14 @ 5:00 PM - 7:00 PM Python Fundamentals: Part 1 of 3 Online via Zoom This three-part interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application. The complete Python Fundamentals series has 6 parts. Each of the parts takes 2 hours, and is delivered in a lecture-style coding walkthrough interrupted by challenge problems and a break. Instructors and TAs are dedicated to engaging you in the classroom and answering questions in plain language. To be a part of this Python workshop, registration is required.