Combining and Analyzing Complex Data

This course teaches individuals how to effectively use survey weights for descriptive statistics, such as totals and means. It also covers more complex concepts, such as calculating model parameters for logistic and linear regressions. The course will focus on R software capabilities and the basics of record linking and statistical matching. These skills are becoming increasingly important to combine data from multiple sources. The course will also address the ethical issues involved in data combination and record linking, including the need for informed consent. Additionally, participants will learn about the differences in legal requirements between countries. Overall, this course provides a comprehensive overview of data science and data analysis techniques, making it ideal for those looking to enhance their skills in this field.