The goal of this working group is to understand issues around sensitive/restricted use research data from a variety of views - especially from the perspective of Berkeley researchers who need and u
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Working Groups: Securing Research Data
2nd Monday of the month, 2:00 - 3:00pm
The goal of this working group is to understand issues around sensitive/restricted use research data from a variety of views - especially from the perspective of Berkeley researchers who need and u
Training: Data Wrangling and Manipulation in R
March 14, 2017
It is often said that 80% of data analysis is spent on the process of cleaning and preparing the data. This workshop will introduce tools (notably dplyr and tidyr) that makes data wrangl
Training: Workshop on Automating Data Operations
March 1, 2017
This hands-on workshop will demonstrate ways to automate data operations--connect, manage, monitor, and transform data quickly--so you can increase analytical productivity and focus on machine lear
Training: Weighting Data
March 7, 2017
This workshop will cover the main types of weighting, to correct for bias in sample data.
Training: Data Organization in Stata
March 3, 2017
This workshop will introduce participants to the basics of data and do-file organization to make working in Stata easier.
Training: Introduction to GIS in R
March 7, 2017
This two-hour course will review the fundamental concepts of GIS, demonstrating them through basic mapping and analysis of a variety of spatial datasets.
Training: Introduction to GIS in R
March 7, 2017
This two-hour course will review the fundamental concepts of GIS, demonstrating them through basic mapping and analysis of a variety of spatial datasets.
Training: Data Wrangling and Manipulation in R
February 22, 2017
It is often said that 80% of data analysis is spent on the process of cleaning and preparing the data. This workshop will introduce tools (notably dplyr and tidyr) that makes data wrangl
January 23, 2017
This introductory workshop provides guidance and advice on how to prepare for qualitative data analysis whether you are using a QDA package like Atlas.TI, Dedoose, or MaxQDA, working wit
