Statistics for Data Science
Research design / Statistical analysis
The goal of this course is to provide students with an introduction to many different types of quantitative research methods and statistical techniques for analyzing data. We begin with a focus on measurement, inferential statistics, and causal inference. Then, we will explore a range of statistical techniques and methods using the open-source statistics language, R. We will use many different statistics and techniques for analyzing and viewing data, with a focus on applying this knowledge to real-world data problems. Topics in quantitative techniques include: descriptive and inferential statistics, sampling, experimental design, parametric and non-parametric tests of difference, ordinary least squares regression, and logistic regression.