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Welcome to DASH: The Data Analysis Support Hub Webinars

DASH workshops help registrants with data analysis and visualization by providing training for software programs and coding languages including Excel, LaTeX, Python, R, and SPSS.

DASH workshops welcome students, staff, and faculty from any discipline, as well as the public at large. A number of DASH workshops are also geared towards beginners, so even if you’re new to data analysis, we encourage you to sign up and learn!

2022-2023 DASH Workshop Topics

This year’s programming includes events on the following topics:

  • Machine Learning with R: K-Means Clustering
  • Machine Learning with R: Linear Regression
  • Intro to Python Programming
  • Intermediate Python Programming
  • Machine Learning with R: Logistic Regression
  • Making the Move from ArcMap to ArcGIS Pro
  • Machine Learning with R: Support Vector Machine Classification
  • Intro to SPSS
  • Intro to Machine Learning with Python
  • Intro to R Programming
  • Data Visualization with MATLAB
  • Machine Learning with R: Random Forest Classification
  • Data Visualization in R using ggplot2
  • Visual Data Analysis with Microsoft Excel
  • Intro to Geospatial Data
  • Simulations for Power Analysis with R
  • Intro to LaTeX
  • Intro to Spatial Analysis with ArcGIS Pro
  • Intro to Mixed Effect Models with R
  • How to Copy ArcGIS Online Content Between Accounts
  • Version Control with Git

Collaborations and Co-Sponsored Events

DASH collaborates with the Do More with Digital Scholarship and Research Data Management workshop series on certain events. Access recordings of DMDS events and RDM Webinars.

2022-2023 DMDS Collaborations

  • What is Digital Scholarship?
  • Network Visualizations with Gephi
  • Visualizing Texts with Voyant Tools
  • How to Lie with Data
  • Sound Data
  • Computational Approaches to Text Preparation and Analysis

2023 RDM Collaboration

  • Qualitative Data