Introduction to Data Collection and Wrangling

Catalog description

This course provides an intensive introduction to data collection, wrangling, and summarization using the R programming language. Students will learn the fundamental skills required to collect, re-shape, transform, manipulate, analytically explore, summarize, and visualize data. Students will learn how data must be organized and formatted in order to perform effective data analysis or be inputted into a machine learning algorithm. Further, students will learn how to produce data-driven dynamic web applications. The time students allocate to learn these data-related skills will allow them to create data sets that promote more efficient, reproducible, and understandable data science products. The course is designed for students from any major with real-world examples drawn from a variety of domains. Students of all skill levels are welcome, including those with limited or no statistical, mathematical, or programming backgrounds. All necessary skills will be taught in class.