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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.

  1. 1

    The Magic of ggplot2

    Learn how ggplot2 turns variables into statistical graphics
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  2. 2

    ggplot2 and categorical data

    More on plotting using ggplot2
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  3. 3

    Introduction to dplyr

    Learn how to manipulate data into a ggplot2 friendly format
    Play Chapter Now
  4. 4

    The Whys and Hows of Tidy Data

    Why we need tidy data and using `tidyr` to make messy data tidy
    Play Chapter Now
  5. 5

    Simple Stats and Modeling with broom

    Now we have tidy data, let's start doing some statistics!
    Play Chapter Now
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Jessica Minnier Headshot

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.
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Ted Laderas Headshot

Ted Laderas

Bioinformatics Developer and Assistant Professor at OHSU. Collaborative Informaticist and R/Data Science evangelist. Plays well with others.
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I've used other sites—Coursera, Udacity, things like that—but DataCamp's been the one that I've stuck with.

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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.

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Decision Science Analytics, USAA