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Course Description
Self-directed bootcamp for learning the basics of data manipulation with the tidyverse. We start with visualization and ask fun questions of the data.
- 4
The Whys and Hows of Tidy Data
Why we need tidy data and using `tidyr` to make messy data tidy - 5
Simple Stats and Modeling with broom
Now we have tidy data, let's start doing some statistics!
Jessica Minnier
Assistant Professor of Biostatistics at Oregon Health & Science University
Jessica is an Assistant Professor of Biostatistics in the OHSU-PSU School of Public Health at Oregon Health & Science University. Her statistical research interests include risk prediction with high dimensional data sets and the analysis of genetic and other omics data. She is passionate about teaching R and programming, reproducible research, and open science.
Ted Laderas
Bioinformatics Developer and Assistant Professor at OHSU. Collaborative Informaticist and R/Data Science evangelist. Plays well with others.
What do other learners have to say?
“I've used other sites—Coursera, Udacity, things like that—but DataCamp's been the one that I've stuck with.”
Devon Edwards Joseph
Lloyds Banking Group
“DataCamp is the top resource I recommend for learning data science.”
Louis Maiden
Harvard Business School
“DataCamp is by far my favorite website to learn from.”
Ronald Bowers
Decision Science Analytics, USAA
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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA. You confirm you are at least 16 years old (13 if you are an authorized Classrooms user).