| Book Name | Description | Topics |
|---|---|---|
|
This course the second course in a two part series that discusses reproducibility in the context of cancer informatics. |
python, r, reproducibility, version-control |
|
|
A guide for getting started using AnVIL |
anvil, cloud-computing |
|
|
A guide for instructors using AnVIL for workshops, lessons, or courses. |
anvil, education |
|
|
A semester-long course on the basics of molecular phylogenetic techniques |
anvil, r-programming |
|
|
An OTTR spinoff template for creating AnVIL content |
anvil, template |
|
|
Baltimore Community Data Science Course at JHSPH through partnership with SOURCE |
community-outreach, course, data-science |
|
|
A repository with tips about code review and implementing it in a lab |
codereview, fhdasl, training |
|
|
The course will cover the key underlying principles and concepts in computing. It will cover concrete discussions of the differences between cloud and local computing. The course will highlight a number of computing options and etiquette for using shared resources. |
computing, informatics |
|
|
📚 An auto-generating library of all Data Science Lab Github-based content |
content-library, website |
|
|
UW Summer Institute in Statistics: Data Wrangling in R |
data-science, r-programming, tidyverse |
|
|
Course 0: Intro to DataTrail |
data-science |
|
|
Course 1: How To Use A Chromebook |
chromebook |
|
|
Course 2: Google & Cloud |
data-science, google-cloud |
|
|
Course 3: File Organization & Projects |
data-science, project-organization |
|
|
Course 4: Github |
data-science, github, version-control |
|
|
Course 5: Introduction to R |
data-science, programming, r |
|
|
Course 6: Data cleaning and wrangling |
data-science, data-tidying, data-wrangling |
|
|
Course 7: Data Visualization |
data-science, data-visualization, ggplot2 |
|
|
Course 8: Getting Data |
data-download, data-science, data-setup |
|
|
Course 9: Basics of Data Analysis |
data-analysis, data-science, r |
|
|
Course 10: Getting a job in data science |
career, career-development, communication, data-science |
|
|
Course 11: Getting a job in data science |
career-development, data-science, jobsearch |
|
|
How to Create an R package Course |
data-science, package-development, r-package |
|
|
The re-organized DataTrail curriculum https://www.datatrail.org/ |
NA |
|
|
|
NA |
|
|
A course to cover the basics of creating documentation and tutorials to maximize the usability of informatics tools |
documentation, software-development |
|
|
This course introduces users to the Fred Hutch Cluster. It will lead users through account creation, using the terminal, connecting to the cluster, submitting jobs, and transferring files. Available in both web and Leanpub formats. |
command-line, computing-cluster, course, fredhutch, hpcc |
|
|
An emerging course for effective use of FH Computing. |
NA |
|
|
A LaTeX template for Fred Hutch letterhead |
latex, letterhead, template |
|
|
An introduction to using Cromwell and WDL at the Fred Hutch |
course, fredhutch, wdl |
|
|
Info about designing, optimizing and deploying your own WDL workflows |
course, fredhutch, openwdl, wdl, workflows |
|
|
Lab module and lectures for variant detection in SARS-CoV-2 using Galaxy |
anvil, genomics, module |
|
|
GDSCN: Statistics for Genomics Differential Expression (github) |
A set of lab modules for an introduction to differential gene expression |
anvil, cloud-computing, gene-expression |
|
A set of lab modules for PCA analysis |
anvil |
|
|
A set of lab modules for RNA-seq analysis |
anvil |
|
|
A set of lab modules for single cell RNA-seq analysis |
anvil |
|
|
Lab exercise: learn basic R programming through interactive swirl lessons |
NA |
|
|
Lab module and lectures for identifying phylogenetic history of SARS variants using R |
NA |
|
|
Guidance on supporting multidisciplinary teams in cancer informatics. |
diversity, informatics, leadership |
|
|
A 2-week introduction to R programming course, with a focus on public health datasets |
beginner, course, r-programming, tidyverse |
|
|
source code for the JHU Data Science Lab website |
website |
|
|
OTTR: Open-source Tools for Training Resources. This is template repository for creating online courses to be published on multiple platforms. See here: https://jhudatascience.org/OTTR_Template/ for a rendered version. |
education, online-learning, open-source |
|
|
Template to create websites with checks for broken urls and spelling, as well as automated rendering. This is an offshoot of the OTTR_Template (https://github.com/jhudsl/OTTR_Template). |
NA |
|
|
The website for OTTR |
NA |
|
|
This course discusses reproducibility and replicability in the context of cancer informatics. |
data-science, informatics, python, r, reproducibility |
|
|
Tidyverse Skills for Data Science in R |
r, tidyverse |
|
|
Website for the Uplift Hub |
NA |
|
|
A gentle introduction to Leanpub |
education, leanpub |
The swirl Course Network - A Repository for swirl
Courses
This page was last updated on 2023-01-30 03:06:44