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@@ -23,5 +23,5 @@ This course is available in multiple formats which allows you to take it in the
 
 - The material for this course can be viewed without login requirement on this [Bookdown website](https://jhudatascience.org/Reproducibility_in_Cancer_Informatics/). This format might be most appropriate for you if you rely on screen-reader technology.
 - This course can be taken for [free certification through Leanpub](https://leanpub.com/universities/courses/jhu/intro-to-reproducibility-in-cancer-informatics).
-- This course can be taken on [Coursera for certification for a fee here](https://www.coursera.org/learn/intro-reproducibility-cancer-informatics) (this course can also be audited for free on Coursera).
+- This course can be taken on [Coursera for certification for a fee here](https://www.coursera.org/learn/intro-reproducibility-cancer-informatics).
 - Our courses are open source, you can find the [source material for this course on GitHub](https://github.com/jhudsl/Reproducibility_in_Cancer_Informatics).