Data Analysis
4240 Public Affairs BldgData Analysis Presenter: Jennie Brand (UCLA)
Data Analysis Presenter: Jennie Brand (UCLA)
Multilevel Modeling Workshop Presenter: Andrew Hicks (UCLA)
Introduction to Stata Presenter: Andrew Hicks (UCLA)
Andrew Hicks April 4, 3:00pm-5:00pm SSC Computer Lab 2400A
Andrew Hicks (UCLA) October 11, 12:30 PM-2:00 PM Bunche Hall A258
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.
Prof. Nathan Osgood, University of Saskatchewan July 28–August 1, 2014 University of California, Los Angeles
Andrew Hicks (UCLA) October 3, 12:00-1:30pm Bunche Hall A258
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 […]
Content: 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.
Brown Bag on Web Scraping Essentials: Bring Your Own Lunch + Website Presenter: Mike Tzen Abstract: In this bring your own lunch brown bag, we’ll discuss the essentials of getting […]
Presenters: Edward Moss Assistant Director for Computing Services California Center for Population Research Mike Tzen Assistant Director for Statistics and Methods Services California Center for Population Research Data analysis […]
"R 4 Stata Users"
This workshop is a brown bag forum. Participants are encouraged to bring in tangible questions they wish to explore using R. To serve as a background road map, the instructor will provide an abbreviated sample of what he thinks are the most useful features of R. However, the goal is to have participants ask questions that the collective group can figure out using R. Any R question is fair game, for example: questions about fundamental R concepts or even questions about how to run Stata-equivalent R commands. Participants will be provided access to Rstudio, so please bring a laptop.
This CCPR brown-bag is intended to be an open forum that complements the 3 great resources below. Please see the resources, especially the first one.
1) 10 minute demo: interactive call–response slideshow of R basics
http://tryr.codeschool.com/
2) Worked out examples from a UCLA IDRE workshop on R concepts
https://stats.idre.ucla.edu/r/seminars/intro/
3) R 4 Data Science e-book
http://r4ds.had.co.nz/
Instructor: Michael Tzen PLEASE BRING A PERSONAL LAPTOP Content: Researchers go through fundamental steps in a data analysis project. This workshop highlights key steps in a data analyst's workflow and […]
Instructor: Michael Tzen Title: Getting your Computational Tools for Research Location: October 25, 2018, 2:00-3:00 PM 4240 Public Affairs Building CCPR Seminar Room Content: We'll get you started on Github, […]
Instructor: Michael Tzen Title: Merging Entities: Deterministic, Approximate, & Probabilistic Location: January 31, 2019, 2:00-3:00 PM 4240 Public Affairs Building CCPR Seminar Room Content: Combining information from different groups is […]
Title: Getting All Your Research Computing Tools for Summer and Beyond - Hardware and Software Location: May 22, 2019 @ 12:00-1:30 PM 4240 Public Affairs Building CCPR Seminar Room Instructors: […]
Title: Getting The Data Yourself: A Web Scraping Code Through Location: May 29, 2019 @ 12:00-1:30 PM 4240 Public Affairs Building CCPR Seminar Room Instructors: Chad Pickering & Mike Tzen […]
The purpose of the Summer Institute is to bring together graduate students, postdoctoral researchers, and early career faculty interested in computational social science. The Summer Institute is open to both […]
Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its […]