Preface

A repository to house materials for a 2 day course introducing participants to data science using R.

The goal of this 2 day workshop is to teach new-to-programming data professionals to import data, clean up and summarize a data set, and make some static data visualizations using the program R. R is a popular statistical computing language, commonly used in many scientific disciplines for statistical analysis, generating production-quality graphics, and automating data workflow tasks. The workshop content will follow best practices for using R for data analysis, giving attendees a foundation in the fundamentals of R and scientific computing.

Daily schedule

Activity	Start Time	End time
Module #1	9:00	10:30
Break	10:30	10:45
Module #2	10:45	12:00
Lunch	12:00	1:00
Module #3	1:00	2:30
Break	2:30	2:45
Module #4	2:45	4:30

Day 1

Introduction to Course (30 min) (Bonnie)
Demo (10 min) (Bonnie)
Introduction to R & RStudio (50 minutes) (Bonnie)
BREAK ☕
Seeking Help in R (15 minutes) (Julie)
Project Management with RStudio (60 minutes) (Julie)
Lunch
Data Structures (75 minutes) (Bonnie)
Extra Practice + Questions (15 minutes)
BREAK ☕
Data Manipulation with dplyr (90 minutes) (Julie)
Day 1 Wrap-up + Questions (15 minutes)

Day 2

Review + Questions (30 minutes)
Making Publication Quality Plots with ggplot2 Pt. 1 (60 minutes) (Bonnie)
BREAK ☕
Making Publication Quality Plots with ggplot2 Pt. 2 (60 minutes) (Bonnie)
Extra Practice + Questions (15 minutes)
Lunch
Data Manipulation with tidyr (60 minutes) (Julie)
Extra Practice + Questions (15-30 minutes)
BREAK ☕
Joining Related Data (45 minutes) (Julie)
Mini-Analysis Project (45 minutes)
Day 2 Wrap-up + Questions (15 minutes)

Most of the above lesson material is sourced from the Software Carpentry Foundation (now The Carpenties) R for Reproducible Scientific Analysis lesson material: Thomas Wright and Naupaka Zimmerman (eds): Software Carpentry: R for Reproducible Scientific Analysis. Version 2016.06, June 2016, https://github.com/swcarpentry/r-novice-gapminder, 10.5281/zenodo.57520.

This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

The authors of this work acknowledge and respect the Lekwungen-speaking Peoples on whose traditional territories we are gathering, and the Songhees, Esquimalt and WSANEC peoples whose historical relationships with the land continue to this day.

1 Introduction to R and RStudio