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.
Take the Next Step
Advance your data science career with UC Berkeley’s online Master of Information and Data Science.