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Reproducibility for the Rest of Us

Ever had to deal with R code that worked in the past, but doesn't work today? The problem could be that your code is not reproducible. In Reproducibility for the Rest of Us, you'll learn best practices to make sure that your code works next week, next month, and next year.

In this course, you'll learn to write code with good formatting and naming practices that can be easily read by humans and computers. You'll learn how to document your code so that collaborators and future you can understand it. And you'll learn about literate programming using Quarto to write reports that can be reproduced at any point.  

If you've been using R for a while but aren't sure you're using best practices, this course is for you. If you've written code that works today but you aren't sure it will work tomorrow, this course is for you. If you're ready to take your R programming to the next level, sign up for Reproducibility for the Rest of Us today.

50% discount for:

Students

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Low-income locations

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25% discount for:

Groups of 3 or more

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Course Includes

  • 11 Lessons
  • Course Certificate
  • Self-Paced
  • Lifetime Access

About the Instructor

Jenine Harris

Jenine Harris is a professor at Washington University, focusing on increasing diversity in data science and improving the quality of research in public health by using reproducible research practices throughout the research process. Jenine’s award-winning 2020 book, “Statistics with R: Solving Problems Using Real-World Data,” is an introductory statistics textbook published by Sage.

Jenine Harris