Interactive Course

RBootcamp

  • 0 hours
  • 0 Videos
  • 70 Exercises
  • 281 Participants
  • 7,850 XP

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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

  2. 3

    Introduction to dplyr

    Learn how to manipulate data into a ggplot2 friendly format

  3. 5

    Simple Stats and Modeling with broom

    Now we have tidy data, let's start doing some statistics!

  1. 1

    The Magic of ggplot2

    Learn how ggplot2 turns variables into statistical graphics

  2. 2

    ggplot2 and categorical data

    More on plotting using ggplot2

  3. 3

    Introduction to dplyr

    Learn how to manipulate data into a ggplot2 friendly format

  4. 4

    The Whys and Hows of Tidy Data

    Why we need tidy data and using `tidyr` to make messy data tidy

  5. 5

    Simple Stats and Modeling with broom

    Now we have tidy data, let's start doing some statistics!

What do other learners have to say?

Devon

“I've used other sites, but DataCamp's been the one that I've stuck with.”

Devon Edwards Joseph

Lloyd's Banking Group

Louis

“DataCamp is the top resource I recommend for learning data science.”

Louis Maiden

Harvard Business School

Ronbowers

“DataCamp is by far my favorite website to learn from.”

Ronald Bowers

Decision Science Analytics @ USAA

Ted Laderas
Ted Laderas

Instructor

Bioinformatics Developer and Assistant Professor at OHSU. Collaborative Informaticist and R/Data Science evangelist. Plays well with others.

Jessica Minnier
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.

Instructor

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