Data Science with R

Catalog description

In this course, students will build and practice data science skills to tidy up disorganized real-world data sets, generate eye-catching visualizations, and craft easy-to-interpret, polished end-products in the R programming environment. Topics include experimental design, building statistical models, and visualizing uncertainty. Students will work throughout the term on an independent data science project leveraging real-world data to investigate their hypotheses culminating in a data blitz presentation. Students will learn how to respond to coding challenges with a puzzle-solving, growth-oriented mindset. No prior R experience is not required. Prerequsites: Required PSYC B205 (Bryn Mawr - Research Methods and Statistics), OR PSYC H200 (Haverford - Research Methods and Statistics), OR SOCLB265 (Bryn Mawr - Quantitative Methods).