Materials

The course will follow this ebook. In addition, computational notebooks containing code examples will be provided directly through the cloud-based computing system that you will be using. Your instructor and GSI may provide additional materials.

Slides for Kerby’s section

• Computing overview
• What is data science
• Types of data
• Data summaries
• Graphical summaries
• Samples and populations
• Data manipulation
• Transformations
• Measurement
• Types of studies
• Probability
• Large samples
• Association
• Information and sample size
• Standard errors
• Confidence intervals
• Hypothesis tests
• Blocking