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Merge pull request #11 from fhdsl/some-key-theme-changes
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Update most of the front page
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avahoffman authored Apr 1, 2024
2 parents 826efb8 + 5ba1d09 commit 621b7ba
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14 changes: 9 additions & 5 deletions config.yml
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default:
course_name_long: "Epi/Biostats Summer Institute - Introduction to R for Public Health Researchers 140.604.73"
course_dates: "January 8-12 and 16-19, 2024"
#course_dates: "January 8-12 and 16-19, 2024"
course_dates_online: "July 8-12 and 16-19, 2024"
course_dates_inperson: "July 29-31, 2024"
course_time: "1:30 p.m. - 4:50 p.m. ET"
final_due_date: "January 24th at 11:59pm ET"
grades_due: "January 26"
register_link: "https://example.com"
#final_due_date: "January 24th at 11:59pm ET"
#grades_due: "January 26"
holiday: "In recognition of [Martin Luther King Jr. Day](https://en.wikipedia.org/wiki/Martin_Luther_King_Jr._Day), there will be **no class on Monday January 15th, 2024**."
courseplus_web: "https://courseplus.jhu.edu/core/index.cfm/go/syl:syl.public.view/coid/20749/"
courseplus_dropboxes: "https://courseplus.jhu.edu/core/index.cfm/go/db:main/coID/20749/"
google_survey: "https://forms.gle/rTqJ4qwV2boo3FL78"
slack_workspace: "https://intro-to-r-140-604.slack.com/"
ta: "Padmashri Saravanan (psarava1 at jhu.edu), Alex Newman (anewma28 at jhu.edu)"
instructors: "[Carrie Wright](https://carriewright11.github.io/) (cwrigh60 at jhu.edu), [Ava Hoffman](https://www.avahoffman.com/) (ava.hoffman at jhu.edu), [Clifton McKee](https://clifmckee.github.io/) (cmckee7 at jhu.edu)"
# ta: "Padmashri Saravanan (psarava1 at jhu.edu), Alex Newman (anewma28 at jhu.edu)"
ds: "Candace Savonen (csavonen at fredhutch.org)"
instructors: "[Carrie Wright](https://carriewright11.github.io/) (cwright2 @ fredhutch.org), [Ava Hoffman](https://www.avahoffman.com/) (ahoffma2 at fredhutch.org), [Elizabeth Humphries]() (ehumphri at fredhutch.org)"
r_version: "(4.3.2 (called 'Eye Holes') as of October 31, 2023)"
r_dl_mac_m1: "https://cran.r-project.org/bin/macosx/big-sur-arm64/base/R-4.3.2-arm64.pkg"
r_dl_mac_intel: "https://cran.r-project.org/bin/macosx/big-sur-x86_64/base/R-4.3.2-x86_64.pkg"
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30 changes: 13 additions & 17 deletions index.Rmd
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Expand Up @@ -18,37 +18,33 @@ knitr::opts_chunk$set(warning = FALSE, message = FALSE)

<br>

## Overview
## Welcome!
***

**Welcome to Introduction to R for Public Health Researchers!**
Data Science for Environmental Health (DaSEH) is a short course that combines **online** learning and an **in-person** project-focused intensive. DaSEH is tailored for beginners and novices in R programming, offering instruction on importing, wrangling, visualizing, and analyzing data. It provides hands-on training in using R for statistical computing, a widely-used open-source tool for data analysis and visualization.

This course is for students who have little to no familiarity with the R programming language and want to learn more about how to use R to import, wrangle, visualize, and analyze data.
### Two-week course

The course will provide students with **“hands-on” training** for analyzing data with the R programming language for statistical computing, a popular open-source solution for data analysis and visualization.
DaSEH begins with a two-week online course that solidifies R programming foundations. Participants learn best practices and ingrain programming skills via active hands-on lab activities. We will practice new skills one topic at a time to make the content more manageable!

### Code-a-thon

The two-week foundation prepares participants a three-day in-person intensive “Code-a-thon”. Here, we'll work on authentic environmental health projects. We'll also practice data ethics skills in peer code review, reproducibility, and transparency in a supportive environment.

### Instructors

`r config::get("instructors")`

### Teaching Assistant
The lead instructors have earned recognition for excellence in teaching and have trained hundreds of professional learners. We can't wait to have you in class, too!

`r config::get("ta")`
We're also supported by our data scientist, `r config::get("ds")`.

<br>

## Class
## Sign Up!
***

* `r config::get("course_dates")` 1:30PM-4:50PM on Zoom - `r config::get("holiday")`
* Zoom link will be emailed prior to the first class.
* [Installation Instructions](https://jhudatascience.org/intro_to_r/docs/module_details/day0.html) - This is **required** before the course, but we can help you on the first day (or before) if you have trouble.
* Slack Workspace invitation will be sent directly via email.
* [CoursePlus Website](`r config::get("courseplus_web")`)
* [Syllabus](syllabus.html)
* [Materials + Schedule](materials_schedule.html)
* [Resources](resources.html)

Our next session of DaSEH will be held online `r config::get("course_dates_online")` and in-person `r config::get("course_dates_inperson")`. For more details check out [Logistics](syllabus.html). You can register using this link: `r config::get("register_link")`!

<br>

Expand All @@ -70,7 +66,7 @@ The course will provide students with **“hands-on” training** for analyzing
***

Feel free to submit typos/errors/etc via the GitHub repository associated with the class:
https://github.com/jhudsl/intro_to_r
https://github.com/fhdsl/DaSEH

This page was last updated on `r Sys.Date()`.

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3 changes: 3 additions & 0 deletions resources/dictionary.txt
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Expand Up @@ -44,6 +44,7 @@ csv
custimization
customizable
cwrigh
DaSEH
Dataquest
Dayananda
DESeq
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Linetype
lightblue
lightgreen
lubridate
misspecification
mclaire
macosx
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TAs
th
ThemePark
thon
tibble
tidyr
tidyselect
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