Essential Statistics and Data Science

3.0 credits · Undergraduate

This course will cover essential tools for data collection and analysis in the modern age of big data. Students will learn foundational topics in statistics, including the notions of sampling, data summarization and visualization, and statistical inference. Students will also learn basics of R programming required for exploratory data analysis. In addition, modern techniques for simulation based statistical inference will be covered to complement classical statistical inference.