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Interrogate Your Data: Data Analysis

Tools, expertise, resources on data analysis

Learning

Qualitative

Quantitative

Humanities

The Data Services team offers workshops in the fall and spring semesters on important Data Analysis subjects.  This list includes previous sessions that may be offered on a recurring basis.  If you would like to see one of these sessions offered again, please contact Data Services.

R vs Python: Love them Both?

This hands-on workshop introduce common data analysis tasks in the R and Python programming languages and explore which language is better suited for a particular task. Basic code for data manipulation and visualization will be run using R Studio Cloud and the repl.it environment for Python. Basic proficiency in R and/or Python is recommended.

Exploring Your Data With OpenRefine (Fall 2021)

OpenRefine is a powerful open source tool to deal with messy data by running a small server on your computer and interacting with data in a web browser. The advantages of OpenRefine are that it can handle a large amount of data and that your data is kept private until you want to share it. This workshop gives general overview of OpenRefine along with focusing on useful tasks such as faceting, clustering, and using regular expressions to manipulate values. This workshop was taught by Dorris Scott and Mollie Webb from Data Services.

 

All WashU faculty, staff, and students have access to online training classes through LinkIn Learning (formerly lynda.com).  See this site for access information.  LinkedIn Learning offers several courses on Data Analysis including...

  • General Data Analysis
  • Python
  • R
  • Excel

 

The links below provide access to several common data analysis tools and their associated documentation or training resources: