Social Science Research Methods and Statistical Analysis in R

In a world of complex data, the ability to distinguish between sound scientific findings and flawed conclusions is a vital skill for any social scientist. This course provides a comprehensive introduction to the principles of research design and statistical analysis, empowering you to conduct your own studies and critically evaluate existing literature. You will transform from a consumer of information into a producer of reliable research by learning how to structure inquiries and interpret results with precision. What you'll learn: - Understand the core principles of the scientific method and ethical research practices. - Design various types of social science studies, from descriptive surveys to experimental layouts. - Master the basics of R for data manipulation and statistical computing. - Apply descriptive and inferential statistics to draw meaningful conclusions from social data. - Practice identifying common research pitfalls and ensuring reproducibility in your work. - Explore modern open science practices and the importance of transparent data reporting. The course begins with essential terminology and foundational concepts before moving into practical data analysis and the logic of statistical inference. This program is designed for beginners with no prior experience in statistics or R programming. Start building your foundation in social science research today.