This three-part series will focus on how to set up database-like structures, navigate them, create models and build various types of reports in Microsoft Excel.
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Training: The Basics of Excel: Part 2
April 10, 2017
This three-part series will focus on how to set up database-like structures, navigate them, create models and build various types of reports in Microsoft Excel.
Training: The Basics of Excel: Part 1
April 3, 2017
This three-part series will focus on how to set up database-like structures, navigate them, create models and build various types of reports in Microsoft Excel.
March 24, 2017
This workshop will cover OpenRefine, a very useful open source, point-and-click interface for cleaning and standardizing data.
March 24, 2017
This workshop will cover OpenRefine, a very useful open source, point-and-click interface for cleaning and standardizing data.
April 4, 2017
Please note: This workshop was originally scheduled for Tuesday, 3/21 at 10:00am-12:00pm. It has been rescheduled for Tuesday, 4/4 at 10:00am-12:00pm.
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
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
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
