Spring 2020 Workshops, Data Workshop Archive, StatLab Consultations, Data around Grounds
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Spring 2020 Workshops!

Our Spring 2020 workshops are on the calendar! Click here to see the full list and to register. We’re excited about teaming up with the Research Computing team to offer even more workshops in the coming semester, including:

  • Getting Started with R, a four-workshop series intended to get you comfortable working with R/RStudio for data wrangling, visualization, and building Shiny web apps
  • R for Statistics, a three-workshop series to review introductory statistics, linear modeling, and modeling count data in R
  • Getting Started with Python, a four-workshop series introducing Python for visualization and data acquisition with APIs and web scraping
  • Matlab essentials, a six-workshop series covering the fundamentals of Matlab, including statistical methods, optimization, parallelization,  deep learning, and image processing
  • R for Big data or computation, a four-workshop series about moving R code to the high-performance computing environment, optimizing and parellelizing R code
  • Using Rivanna, a five-workshop series on working in Rivanna, UVa's HPC environment, including Rivanna from the command line, software containers in Rivanna, and using Python, Julia, and C/C++ on Rivanna

And so much more! Check out our full list of workshops. All are welcome! And be sure to check out additional workshops and training offered by the UVA Library, including offerings by the Library's Scholars' Lab.

Data Workshop Archive
Did you miss a workshop? No problem! Past workshop materials are available on our website. Most of them are suitable for self-study and all are free to download. And if something in the workshop just isn't clicking for you, contact the instructor and set up a one-on-one appointment for some personal instruction!

StatLab Consultations

Need help with, or just another set of eyes for, your data analysis or visualization? Maybe your data needs some serious wrangling or your R script isn't working? UVa Library’s StatLab offers free statistical and data science consulting to students, faculty and staff engaged in research. Some examples of recent consultations include:

  • Assisting a PhD candidate with creating and polishing an effect plot in R
  • Helping an economics undergrad with data wrangling in Stata
  • Conducting a power and sample size analysis for a research scientist
  • Getting a graduate student up and running with R
  • Advising a faculty member on how to implement a model-based cluster analysis

If you’d like some help with your research data analysis, email us and let’s schedule an appointment!

Data around Grounds

Looking for more good talks and opportunities to learn about data across Grounds? So are we! We're looking  forward to the upcoming discussion with Virginia Eubanks, author of Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. Hosted by the School of Data Science, the talk is Friday, December 6  from 3:30 to 5:00 in Nau Hall 101. Maybe we'll see you there!

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