The U of A DataLab (DataLab), with the Data Science Institute and the Institute for Computation & Data-Enabled Insight at the University of Arizona, serves as a vibrant center for fostering interdisciplinary research in AI and the wide field of data science. It offers a collaborative environment where researchers and students from diverse disciplines come together to explore, analyze, and extract insights from complex datasets. Through interdisciplinary workshops, consultations, and a range of tools and resources, the DataLab empowers researchers, students, and industry partners to harness the potential of AI and data-driven discovery.
Fall 2024: U of A DataLab series of workshop sessions
Visit this page often to stay up-to-date on the DataLab series of workshops.
Register for the Series and attend the workshop sessions that interest you!
Workshops meet at Weaver Science-Engineering Library, Rm 212 and on Zoom.
Workshop sessions meet at Weaver Science-Engineering Library, Rm 212 and on Zoom.
Learn more about the workshop sessions.
REGISTER for the Series and attend the workshop sessions that interest you!
Add the Series to your calendar. Add to calendar
Workshop sessions meet at Weaver Science-Engineering Library, Rm 212 and on Zoom.
Learn more about the workshop sessions.
REGISTER for the Series and attend the workshop sessions that interest you!
Add Series to your calendar. Add to calendar
Learn more about the workshop sessions. (Zoom links on workshop event pages)
Add the Series to your calendar. Add to calendar
Workshop sessions meet on Zoom.
Learn more about the workshop sessions.
REGISTER for the Zoom link to the Series. Attend the workshop sessions that interest you!
Add the Series to your calendar. Add to Calendar
Workshop sessions meet at Weaver Science-Engineering Library, Rm 212 and on Zoom.
Learn more about the workshop sessions.
REGISTER for the Series and attend the workshop sessions that interest you!
Add the Series to your calendar. Add to calendar
-
10/24 Introduction to Gradio
-
10/31 Introduction to RAG
Workshop sessions meet at Weaver Science-Engineering Library, Rm 212 and on Zoom.
Learn more about the workshop sessions.
REGISTER for the Series and attend the workshop sessions that interest you!
Add the Series to your calendar. Add to calendar
-
09/19 NLP with Transformers
Advantages of the U of A DataLab
- Improved Research: Help researchers to explore new ideas and develop innovative solutions to complex problems leading to breakthroughs in areas like healthcare, finance, and social science.
- Innovation: Encourage innovation and entrepreneurship by providing a space to explore new ideas and develop new applications.
- Industry Partnerships: Facilitate partnerships with industry partners that lead to new research opportunities, funding, and internships.
- Career Opportunities: Provide hands-on experience in data science which can improve job prospects.
Contact the U of A DataLab to learn how we can partner or bring the DataLab experience to your department.
Spring 2024 semester: U of A DataLab workshop sessions
Watch the DataLab Spring 2024 semester workshop series on the UArizona Data Lab YouTube channel.
- NextGen Geospatial Data Science
- Data Science Essentials: From Jupyter to AI Tools
- Cracking the Coding Interview
- Data & Viz Drop-in
- Data Science Tapas: Savor the Tools of Data Mastery
- Mastering Machine Learning: Your Path to Data-Driven Research
- Introduction to Deep Learning
- Navigating the World of Data Engineering
U of A DataLab activities
In addition to providing useful information, tools, and resources in the workshop sessions, the Data Science Institute and the DataLab support many projects and activities around the University of Arizona.
- Join the data science community conversations on the Slack channel, uadatascience.slack.com.
- Annual spring events including Women in Data Science-Tucson (WiDS) and ResBaz Arizona (Research Bazaar Arizona).
- Weekly meetings and events that are open to all and are great opportunities to network include Coffee & Code, Hacky Hour, Data & Viz Drop-in, and Code Commons.
Coffee &Code Hacky Hour Data & Viz Drop-in CODE COMMONS
Staff
Jeff Gillan
Michele Cosi
Carlos Lizárraga
Mithun Paul
Associate Members
Andrew Bennett
Greg Chism
Angela Cruze
Tina L. Johnson
Enrique Noriega
Maliaca Oxnam
Tyson Swetnam
Students*
Mandira Bhowmik (U)
Brenda Huppenthal (GA)
Megh Krishnaswamy (GA)
Austin Medina (U)
Shashank Yadav (GA)
*GA=Graduate Assistant, U=Undergrad
Consultation Services
AI applications & research software
Cloud based analytic tools
Data mining & analytics tools
Data visualization tools
Data protection & validation
To schedule a consultation, email the Arizona Data Lab team.
Resources
DL Training Resources
Newsletters
Medium Publications
Substack
Recommended Courses
LLMs
Machine Learning & Deep Learning
More Learning Resources
Research Topics
Deep Learning
Generative AI for Vision: Diffusion Models and GANs
Large Language Models
NeRF: Neural Radiance Fields
Object Detection and Segmentation
Vision Transformers - ViT
Machine Learning
Federated Learning