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This workshop is a first introduction to using Stata and covers common tasks in data analysis.

It is not recommended for users already comfortable with the basics of Stata, but may provide a helpful review.

The workshop does not assume any experience with Stata, statistics, other programs for statistical analysis, or any scripting experience at all. However, experience with any of these can make getting started in Stata easier.

The focus in this sessions is building familiarity with how one interacts with Stata by working through common tasks.

Software Used: Stata

Topics

This workshop covers:

  • why use Stata
  • navigating the Stata interface
  • importing data
  • manipulating datasets (e.g., creating variables, recoding variables, subsetting datasets)
  • basic analysis of data
  • basic data visualization
  • saving your results, data, and visualizations
  • a suggested workflow

During this Workshop

Participants will be able to download materials for the workshop and are encouraged to listen, practice, and interact as it suits their learning style.

The sessions will conclude with exercises with instructional staff available for help.

Preparing for this Workshop

This workshop is designed for attendees who have the following:

  • a Yale NetID to use lab machines or personal computer with software installed
  • basic experience with the Windows OS (if using a lab computer)

In order to provide the best learning experience possible, we ask that you arrive before the scheduled start-time of the workshop. Arriving more than 5 minutes late may make it difficult to catch up with the other participants.

Please email statlab@yale.edu with any questions about this workshop.

Date:
Friday, February 16, 2018
Time:
1:30pm - 4:00pm
Location:
KBT C27 (Computer Classroom) Center for Science and Social Science Information (CSSSI)
Campus:
Science Hill
Categories:
Center for Science and Social Science Information (CSSSI), Data, Programming, Statistics, StatLab
Registration has closed.

Event Organizer

Jonathan Olmsted