Work together to practice skills or tackle common career-prep tasks like interviewing, resume reviews, and more.
Workshops
Learn about relevant technology in a space where you can discuss and get hands-on experience.
Social Events
Share your love of data with others!
Potential Workshop Options
Anonymous or Not: Data Ethics and Practices (discuss current data practices that comply with or break ethical code and how we even define ethics)
Data in the Cloud: Azure, AWS, GCP, and Me (introduces the concepts of "the cloud" with room to shift more technical with demonstrations)
Data Storytelling (looking at how data is presented in all mediums)
Guide to Technical Interviews (exploring the different types of interviews, how to prepare, and maybe do some practice/ demos)
Let's Talk Visuals: Review of All the Tools (exploring programmatic and non visualization tools like ggplot2, matplot.lib, seaboard or Power BI, excel, tableau)
Project Portfolios: Showcasing your Skills (we provide a template website where you can upload your projects for display; talk best practices and what to display like notebooks and visuals)
Statistics in Data Science: Why is it important? (exploration of foundational stats concepts such as distributions, assumptions, and probability)
The Top Hits: Python, SQL, and R (demo-ing the three most popular data science languages, we can discuss the companies that most popularly use these languages)
Translating Data (soft skills in talking data to non-technical and technical people alike; practice possible)
What's my Job Title? (exploring all the different types of analysts/engineers/data scientists roles and how each vary)
Recommended UArizona Classes (spotlight our favorite/ most useful data science classes, citing the tools, programs, and concepts used)