Data Science Training Material Catalog – NCEAS Course Catalog

Categories

All (29)

CSS-Sass (1)

GitHub (3)

GitHub-pages (1)

Google (1)

HTML (1)

Jupyter-Notebooks (1)

LH (10)

LTER (11)

MEDS (8)

Quarto (4)

Quarto-websites (3)

R (7)

RStudio (3)

Shiny (1)

aic (1)

basemaps (1)

blog-post (1)

clone (1)

code-chunk (1)

code-conditionals (1)

code-help (1)

command-line (1)

console (1)

coordinate-reference-system (1)

course (1)

custom-r-functions (1)

data-discovery (1)

data-harmonization (1)

data-inventory (1)

data-qc (1)

data-repositories (1)

data-shape (1)

data-structure (1)

data-types (1)

data-visualization (4)

data-wrangling (3)

documenting-functions (1)

error-messages (1)

functions (1)

ggplot (1)

ggplot2 (3)

git (2)

git-best-practices (1)

git-branch (1)

git-clone (1)

git-collaboration (1)

git-conflict (1)

git-fork (1)

git-issue (1)

git-milestone (1)

git-on-existing-project (1)

git-project (1)

github (1)

help-page (1)

instructional-document (1)

joins (1)

keyboard-shortcuts (1)

leaflet (2)

literate-programming (1)

loops (1)

maps (1)

markdown (1)

merge-conflict (1)

meta-analysis (1)

mixed-effects (1)

module (25)

multi-model-inference (1)

multi-panel-graphs (1)

notebook-interfaces (1)

null-hypothesis-testing (1)

ordination (1)

package-dependencies (1)

package-documentation (1)

package-testing (1)

quarto (2)

quarto-environment (1)

quarto-file-paths (1)

r-functions (1)

r-markdown (1)

r-packages (1)

r-script (1)

raster-data (1)

remote-repository (1)

reproducibility (2)

rstudio (1)

sf (2)

shiny (2)

short-course (2)

slides (5)

spatial-crs (1)

spatial-data (2)

spatial-extraction (1)

spatial-joins (1)

subset-operator (1)

terra (1)

tidyverse (2)

tips-tricks (1)

troubleshooting (1)

vector-data (1)

version-control (2)

visualization-accessibility ggplot2-themes (1)

website (12)

wiki (1)

writing-functions-practice (1)

Filter materials using the Categories on the right. Some helpful definitions:

Category	Definition
module	Content that can be delivered in a short, 1-2 hour-long session; short courses & courses often comprise multiple modules; modules may or may not be stand-alone lessons.
short course	content that is delivered across multiple (2-5) days.
course	content for a quarter- or semester-long academic course

Collaborative Coding with GitHub

LTER

module

version-control

git

github

rstudio

git-clone

git-branch

git-fork

git-conflict

git-issue

git-project

git-milestone

Use version control to efficiently work together on synthesis projects

SSECR Module: Data Wrangling

LTER

module

website

data-harmonization

data-wrangling

data-qc

code-conditionals

joins

data-shape

loops

custom-r-functions

Data wrangling and harmonization for synthesis projects

SSECR Module: Analysis & Modeling

LTER

module

website

aic

mixed-effects

meta-analysis

null-hypothesis-testing

multi-model-inference

Statistical methods in synthesis projects

SSECR Module: Reproducibility

LTER

module

website

reproducibility

Reproducibility in synthesis science projects

SSECR Module: Reproducible Reports

LTER

module

website

reproducibility

notebook-interfaces

r-markdown

quarto

Reproducible reports for synthesis projects

Creating R Packages

LH

module

r-packages

package-testing

package-dependencies

package-documentation

Package your work and share it. Creating your own package allows you to organize your code and data in a way that easily be shared and reused.

Coding in the Tidyverse

LTER

module

tidyverse

ggplot2

data-visualization

data-wrangling

R

Cover fundamental operations in the Tidyverse ecosystem of R packages

SSECR Module: Data Discovery & Management

LTER

module

website

data-discovery

data-inventory

data-repositories

Data discovery and documentation for synthesis projects

SSECR Module: Spatial Data

LTER

module

website

spatial-data

vector-data

raster-data

spatial-crs

maps

spatial-extraction

sf

terra

Spatial data operations for synthesis projects

Collaborating using `Git` and GitHub & Merge Conflicts

LH

module

git-collaboration

merge-conflict

git-best-practices

How to work with Git and GitHub will a collaborator with practices without and with merge conglict

Customizing Quarto Websites

MEDS

module

slides

Quarto

Quarto-websites

HTML

CSS-Sass

make your website stand out using Sass & CSS

Publishing to the Web using GitHub Pages

LH

module

GitHub

GitHub-pages

website

Using GitHub pages to publish a document

Data Visualization & Communication (EDS 240)

MEDS

course

website

slides

data-visualization

R

ggplot2

a 4-unit graduate-level course taught at the Bren School for Environmental Science & Management

Introduction to `Git` and GitHub

LH

module

version-control

git

GitHub

remote-repository

clone

git-on-existing-project

RStudio

Intro to Git and GitHub with motivating example and practice session using RStudio

Teach Me How to Google

MEDS

module

slides

Google

code-help

troubleshooting

a talk on how to troubleshoot code and Google for helpful answers

Creating Functions in R

LH

module

functions

documenting-functions

writing-functions-practice

Soft introduction to writing functions in R. Live coding example

Literate Analysis with Quarto

LH

module

literate-programming

quarto

markdown

code-chunk

quarto-file-paths

quarto-environment

Combine prose and code in one documen. Literate analysis is a fundamental tool for making your work reproducible.

Intro to Shiny (EDS 296)

MEDS

short-course

website

slides

Shiny

R

a short course on building, customizing, and deploying interactive dashboards using R {shiny}

SSECR Module: Interactivity

LTER

module

website

shiny

R

Interactive apps with Shiny for synthesis projects

Cleaning and Wrangling Data

LH

module

R

data-wrangling

tidyverse

Introduction to cleaning and wrangling data using dplyr and tidyr functions

Introduction to Data Visualization

LH

module

data-visualization

ggplot

leaflet

Data visualization is a great tool to explore and communicate your data. Learn the basics of ggplot2 and other data vis packages.

Data Science Tools for Building Professional Online Portfolios (EDS 296)

MEDS

short-course

website

slides

Quarto

GitHub

a short course building, customizing, and maintaining GitHub and personal website portfolios

SSECR Module: Data Visualization

LTER

module

website

ggplot2

ordination

multi-panel-graphs

visualization-accessibility ggplot2-themes

Data visualization and exploration methods for synthesis projects

IDE Tips & Tricks / Keyboard Shortcuts

MEDS

wiki

tips-tricks

keyboard-shortcuts

RStudio

Jupyter-Notebooks

command-line

weekly keyboard shortcuts that are helpful for early beginners

Introduction to Programming in R using RStudio

LH

module

R

RStudio

console

r-script

data-types

data-structure

r-functions

help-page

subset-operator

error-messages

This lesson walks through the basic concepts of the R programming language

Adding a blog to your existing Quarto website

MEDS

module

blog-post

Quarto

Quarto-websites

Got a Quarto website, but no blog? We can fix that!

Creating your personal website using Quarto

MEDS

module

instructional-document

Quarto

Quarto-websites

step-by-step instructions for building & deploying a Quarto website

Shiny Apps for Sharing Science

LTER

module

shiny

R

Engage with the fundamentals of R Shiny using RStudio

Using `sf` for Spatial Data

LH

module

spatial-data

sf

coordinate-reference-system

spatial-joins

data-visualization

leaflet

basemaps

Handling spatial data can be tricky. The sf package allows for integrating R spatial software with the tidyverse if desired