Career Track

Statistician with R

Master the essential skills to land a job as statistician! Using statistics, you can help solve real-world problems in business, engineering, the sciences, and many other fields. In this track, you'll learn how to use statistical methods to explore and model data, draw conclusions from a wide variety of datasets, and interpret and report findings.

  • R
  • 56 hours
  • 14 courses
1
R Icon

Introduction to Data in R

Learn the language of data, study types, sampling strategies, and experimental design.

4 hours
Mine Cetinkaya-Rundel

Associate Professor at Duke University & Data Scientist and Professional Educator at RStudio

3
R Icon

Modeling with Data in the Tidyverse

Explore Linear Regression in a tidy framework.

4 hours
Albert Y. Kim

Assistant Professor of Statistical & Data Sciences at Smith College

Instructors

Mine Cetinkaya-Rundel

Associate Professor at Duke University & Data Scientist and Professional Educator at RStudio

Andrew Bray

Assistant Professor of Statistics at Reed College

Albert Y. Kim

Assistant Professor of Statistical & Data Sciences at Smith College

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