Using R for Data Analysis in Social Sciences
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 ...Show More
Course Content
Introduction to the course
1 Lesson
Getting Started with R
11 Lessons
Get Data Ready: Import, Inspect, and Prepare Data
15 Lessons
One-sample and Difference-of-Means Tests
13 Lessons
Covariance and Correlation
10 Lessons
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
How You'll Learn
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Built-in assessments let you test your skills. Completion certificates let you show them off.