U of A DataLab

The University of Arizona DataLab (U of A DataLab) serves as a vibrant nexus for 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 learn, explore, analyze, and extract insights from complex datasets. Through hands-on workshops, consultations, and a range of tools and resources, the U of A DataLab shows researchers, students, and industry partners how to harness the potential of AI tools and data-driven discovery. 

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• AI Makerspace Meetup: The AI Makerspace Meetups provide an opportunity to get some hands-on, hacky-hour like experience with some of the most sought-after AI/Gen-AI skills. Specifically, this AI makerspace meetup will take the in-depth subjects taught in U of A DataLab workshops and add horizontal breadth to them.
• AI for Bioinformatics: Practical Skills for the Modern Researcher: Learn the necessary skills and tools to analyze biological data using high-performance computing resources. Get hands-on experience with industry-standard command-line tools (CLI) for DNA and RNA sequencing analysis, sequence manipulation and alignment, and pipeline management for automating complex workflows.
• Foundational Open Science Skills (FOSS): FOSS online offers hands-on learning resources to build a solid Open Science foundation for your research and educational projects in a supportive atmosphere with peers and project mentors. It is a curriculum and a roadmap to guide your computational research and level up your teaching, collaboration, proposal writing, and publishing.
• Geospatial AI: This technical mini-series gives a broad overview of developments in GeoAI and demystify the jargon and concepts for researchers working with GIS/Remote Sensing tools.
• Practical AI for Research: LLMs, RAG & Agentic Systems: This comprehensive workshop guides participants through the evolution of machine learning, from foundational neural networks to cutting-edge AI architectures and their practical deployment. 
• Python & AI for Data Analysis: Beyond traditional methods, the workshop delves into the transformative potential of AI, demystifying machine learning concepts and providing hands-on experience with predictive modeling  for students/staff/postdocs across all disciplines who aim to develop foundational and advanced competencies in data analysis using Python and AI.
• Research Productivity: This workshop series helps to alleviate the challenges with creating a culture for diverse teams to thrive, plan, and manage projects - whether planning the next project, currently working on projects, or preparing for the next grant proposal submission.

Register for the workshops and sessions that interest you and add them to your calendar.  Unless otherwise noted, workshops are held at the Weaver Science and Engineering Library, Room 212 and on Zoom.

U of A DataLab workshop videos and training material

Watch previous U of A DataLab workshop videos that are on the UArizona DataLab YouTube channel. Review workshop resources and training material on the U of A DataLab Github repository.

Partner with the U of A DataLab

To learn how the U of A DataLab can help you with your research or how to partner with the DataLab, email the team.

Additional activities

In addition to providing useful information, tools, and resources in the workshop sessions, the Data Science Institute and the U of A 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