Intermediate
121 Lessons
19h 45min
Certificate of Completion
Takeaway Skills
Learn to use R to import and inspect data, identify dataset attributes, and manage observations, variables, and datasets.
Learn to use R to graph simple histograms, box plots, scatter plots, and research findings.
Learn to use R to summarize data, conduct a one-sample t-test, and test the difference of means between groups.
Learn how to replicate research findings in published journal articles.
Learn to use R to compute covariance and correlation, estimate and interpret ordinary least square (OLS) regression, and diagnose and correct regression assumption violations.
Course Overview
With the rapid progress in statistical computing, proficiency in using statistical software such as R, SPSS, and SAS has become almost a universal requirement. The highly extensible R programming language offers a wide range of analytical and graphical capabilities ideal for manipulating large datasets. This course integrates R programming, the logic and steps of statistical inference, and the process of empirical social science research in a highly accessible and structured fashion. It emphasizes learning...
Course Content
Introduction to the course
Getting Started with R
Get Data Ready: Import, Inspect, and Prepare Data
One-sample and Difference-of-Means Tests
Covariance and Correlation
Regression Analysis
12 Lessons
Regression Diagnostics and Sensitivity Analysis
15 Lessons
Replication of Findings in Published Analyses
7 Lessons
Conclusion
2 Lessons
Appendix-A
8 Lessons
Appendix-B
27 Lessons
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