Skip to content

Commit

Permalink
Merge pull request #1 from ua-datalab/main
Browse files Browse the repository at this point in the history
Main
  • Loading branch information
clizarraga-UAD7 authored Jan 28, 2024
2 parents 9274fca + 0834f1c commit 80d4efe
Show file tree
Hide file tree
Showing 5 changed files with 58 additions and 17 deletions.
6 changes: 5 additions & 1 deletion .github/workflows/ghpages.yml
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,11 @@
on:
push:
branches:
- main
- gh-pages
permissions:
actions: write
contents: read, write
deployments: write
jobs:
build:
name: Deploy docs
Expand Down
1 change: 1 addition & 0 deletions .gitignore
Original file line number Diff line number Diff line change
@@ -1 +1,2 @@
.DS_Store
*~
30 changes: 14 additions & 16 deletions README.md
Original file line number Diff line number Diff line change
@@ -1,29 +1,27 @@
# ua-datalab.github.io
Main page for the UArizona Data Lab
### ua-datalab.github.io
# Main page for the UArizona DataLab


## The _UArizona DataLab_ Programs & Services

Programs and services that would be offered by the _UArizona DataLab_. These programs could include courses, workshops, research opportunities, and internships.
Programs and services that are currently offered by the _UArizona DataLab_. These programs include courses, workshops, research opportunities, and internships.

### The _UArizona DataLab_ Functions & Outreach Activities
<img src="https://github.com/clizarraga-UAD7/DataScienceLab/raw/main/images/UADLSquareLogo.png?raw=true" width=150>

The _UArizona DataLab_ can be an effective tool for fostering and accelerate research in applied Data Science by providing access to expertise, data, collaboration, advanced infrastructure, and training opportunities.

* _Access to Expertise_: The _UArizona DataLab_ can provide expertise and resources for complex data science projects and can be shared with students, researchers, and faculty members.
# UArizona Data Lab Workshops - Spring 2024

* _Access to Data_: The _UArizona DataLab_ can provide access to a wide variety of datasets that are often difficult to acquire. These data sources can include both structured and unstructured data, which can be used to develop innovative data science applications.

* _Collaboration with other departments and institutions_: The _UArizona DataLab_ can foster collaboration between researchers, students, and industry partners. This collaboration can lead to new ideas, insights, and techniques that can be used to solve complex data science problems.

* _Industry Partnerships_: The _UArizona DataLab_ could partner with industry to provide students with internships and other opportunities to gain real-world experience.

* _Advanced Infrastructure_: The _UArizona DataLab_ can provide access to state-of-the-art computing infrastructure (CyVerse & HPC), which is necessary for carrying out large-scale data science projects. This infrastructure can include cloud computing platforms, high-performance computing clusters, and specialized hardware like GPUs.

* _Training and Continuous Education_: The _UArizona DataLab_ can provide training and education opportunities for students, researchers, faculty members and professionals. This can include internship programs, workshops, seminars, and courses that focus on the latest data science techniques and tools.
***

* _Data Science Skills HR Pool_: The _UArizona DataLab_ can be a valuable DS human resources provider for research groups looking for skillful students.
## Workshops Repositories

* [Introduction to Data Engineering Technologies](https://github.com/ua-datalab/DataEngineering/wiki)
* [Introduction to NextGenGeospatial Data Science](https://github.com/ua-datalab/Geospatial_Workshops/wiki)
* [Introduction to Data Science](https://github.com/ua-datalab/Workshops)
* [Data Science Tapas](https://github.com/ua-datalab/DataScienceTapas/wiki)
* [Classical Machine Learning](https://github.com/ua-datalab/MLWorkshops)
* [Introduction to Deep Learning](https://github.com/ua-datalab/DLWorkshops/wiki)

***

Expand All @@ -32,6 +30,6 @@ Created 01/27/2024; Updated 01/27/2024

Carlos Lizárraga <br>

[UArizona Data Lab](https://www.datascience.arizona.edu/education/uarizona-data-lab), Data Science Institute, 2023.
[UArizona Data Lab](https://www.datascience.arizona.edu/education/uarizona-data-lab), Data Science Institute, 2024.

[<img src="https://datascience.arizona.edu/sites/default/files/Data%20Science%20Institute_Webheader%20%281%29.svg" width="256">](https://datascience.arizona.edu)
37 changes: 37 additions & 0 deletions README.md~
Original file line number Diff line number Diff line change
@@ -0,0 +1,37 @@
# ua-datalab.github.io
Main page for the UArizona Data Lab


## The _UArizona DataLab_ Programs & Services

Programs and services that would be offered by the _UArizona DataLab_. These programs could include courses, workshops, research opportunities, and internships.

### The _UArizona DataLab_ Functions & Outreach Activities

The _UArizona DataLab_ can be an effective tool for fostering and accelerate research in applied Data Science by providing access to expertise, data, collaboration, advanced infrastructure, and training opportunities.

* _Access to Expertise_: The _UArizona DataLab_ can provide expertise and resources for complex data science projects and can be shared with students, researchers, and faculty members.

* _Access to Data_: The _UArizona DataLab_ can provide access to a wide variety of datasets that are often difficult to acquire. These data sources can include both structured and unstructured data, which can be used to develop innovative data science applications.

* _Collaboration with other departments and institutions_: The _UArizona DataLab_ can foster collaboration between researchers, students, and industry partners. This collaboration can lead to new ideas, insights, and techniques that can be used to solve complex data science problems.

* _Industry Partnerships_: The _UArizona DataLab_ could partner with industry to provide students with internships and other opportunities to gain real-world experience.

* _Advanced Infrastructure_: The _UArizona DataLab_ can provide access to state-of-the-art computing infrastructure (CyVerse & HPC), which is necessary for carrying out large-scale data science projects. This infrastructure can include cloud computing platforms, high-performance computing clusters, and specialized hardware like GPUs.

* _Training and Continuous Education_: The _UArizona DataLab_ can provide training and education opportunities for students, researchers, faculty members and professionals. This can include internship programs, workshops, seminars, and courses that focus on the latest data science techniques and tools.

* _Data Science Skills HR Pool_: The _UArizona DataLab_ can be a valuable DS human resources provider for research groups looking for skillful students.


***


Created 01/27/2024; Updated 01/27/2024

Carlos Lizárraga <br>

[UArizona Data Lab](https://www.datascience.arizona.edu/education/uarizona-data-lab), Data Science Institute, 2023.

[<img src="https://datascience.arizona.edu/sites/default/files/Data%20Science%20Institute_Webheader%20%281%29.svg" width="256">](https://datascience.arizona.edu)
1 change: 1 addition & 0 deletions requirements.txt
Original file line number Diff line number Diff line change
@@ -1,3 +1,4 @@
##
bump2version
coverage
flake8
Expand Down

0 comments on commit 80d4efe

Please sign in to comment.