Introduction to Data Science and Statistical Thinking - Part 2
Intro to data science and statistical thinking. Explore, visualize, and analyze data to understand natural phenomena, investigate patterns, model outcomes, and make predictions, and do so in a reproducible and shareable manner with R. Gain experience in data wrangling and munging, exploratory data analysis, predictive modeling, data visualization, and effective communication of results with problems and case studies based on real-world questions and data. No statistical or computing background is necessary. Not open to students with credit for 100-level STA course, STA 210, or STA 300-level or above. This is a half-credit course, must complete STA 199L-1 AND 199L-2 to get curriculum codes.