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In this course you are introduced to the discipline of statistics as a science of understanding and analyzing data. You will learn how to effectively make use of data in the face of uncertainty: how to collect data, how to analyze data, and how to use data to make inferences and conclusions about real world phenomena.

Course Content

  • Lab 0 – Introduction to R
  • Lab 1 – Introduction to data
  • Lab 2 – Probability
  • Lab 3A – Foundations for inference: Sampling distributions
  • Lab 3B – Foundations for inference: Confidence intervals
  • Lab 4 – Inference for numerical data
  • Lab 5 – Inference for categorical data
  • Lab 6 – Introduction to linear regression
  • Lab 7 – Multiple linear regression


9 Hours

  • No formal background is required for this course, but some basic mathematical skills will come in handy. A genuine interest in data analysis is a plus!
  • R
  • Mine Çetinkaya-Rundel (Duke University)
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