Data Analysis
4240 Public Affairs BldgData Analysis Presenter: Jennie Brand (UCLA)
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Multilevel Modeling Workshop
SSC Computer Lab 2035HMultilevel Modeling Workshop Presenter: Andrew Hicks (UCLA)
Introduction to Stata
Bunche Hall A258Introduction to Stata Presenter: Andrew Hicks (UCLA)
Advanced Stata Programming
SSC Computing Lab 2400 Public Affairs Building, Los Angeles, United StatesAndrew Hicks April 4, 3:00pm-5:00pm SSC Computer Lab 2400A
Introduction to Stata
Andrew Hicks (UCLA) October 11, 12:30 PM-2:00 PM Bunche Hall A258
Introduction to Methods for Longitudinal Survey Analysis using Stata
Andrew Hicks (UCLA) January 31, 12:00 PM-2:00 PM SSC Computer Lab 2035H, located on the second floor in the Public Affairs Building.
Agent-Based Modeling Using AnyLogic Workshop
Prof. Nathan Osgood, University of Saskatchewan July 28–August 1, 2014 University of California, Los Angeles
Introduction to Stata
Andrew Hicks (UCLA) October 3, 12:00-1:30pm Bunche Hall A258
So you want to be a researcher? Principles and practical data tools to help you fly transparently
SSC Computing Lab 2400 Public Affairs Building, Los Angeles, United StatesResearchers go through fundamental steps in a data analysis project. This workshop highlights key steps in a data analyst's workflow and encourages transparency in each of the steps. Throughout this workshop, we go through hands on exercises that integrate: a transparency engine, obtaining federal API data, producing useful intermediate data structures, and sharing analysis results. […]
So you want to be a researcher? Principles and practical data tools to help you fly transparently
CCPR Seminar Room 4240 Public Affairs Building, Los Angeles, CA, United StatesContent: Researchers go through fundamental steps in a data analysis project. This workshop highlights key steps in a data analyst's workflow and encourages transparency in each of the steps. Throughout this workshop, we go through hands on exercises that integrate: a transparency engine, obtaining federal API data, producing useful intermediate data structures, and sharing analysis results. We will use Jupyter notebook for literate coding and if time allows demonstrate the Rstudio environment for reproducible development.