Statistics for the Humanities: Analyzing Research Data

Humanities and social science research increasingly relies on empirical data, yet traditional training rarely covers how to analyze this information systematically. This course bridges the gap, showing you how to turn qualitative texts, historical records, and survey responses into structured, analyzable data. You will transition from feeling overwhelmed by numbers to confidently applying statistical techniques to your research questions. By reading through clear explanations and working through practical text-based exercises, you will learn to identify patterns, test hypotheses, and support your arguments with robust quantitative evidence. What you'll learn: - Understand foundational statistical concepts, including variables, scales of measurement, and distributions tailored for qualitative disciplines. - Clean and organize messy historical, linguistic, or sociological datasets for structured analysis. - Apply exploratory data analysis techniques to discover hidden trends in your research materials. - Formulate and test scientific hypotheses using basic inferential statistics like t-tests and chi-square tests. - Interpret statistical results accurately to strengthen your academic papers and research projects. - Explore modern digital humanities workflows, including basic text analysis and corpus statistics. The curriculum begins with core terminology and the basics of measurement before moving step-by-step into data preparation, descriptive summaries, and hypothesis testing. Each concept is reinforced with written examples and scenarios drawn directly from real-world humanities research. This course is designed specifically for students, researchers, and professionals in the humanities and social sciences who are new to statistics and want a gentle introduction. No prior programming or advanced math experience is required. Start reading today to add powerful quantitative methods to your research toolkit.