Event date
Tuesday, June 9, 2020
Event time
9:00am to 12:00pm
Remote (Zoom link below)

Zoom Link
To obtain the Zoom link for this workshop please click the link below:
After re-registering on the Zoom website, you will receive a confirmation email containing information about joining the meeting.
If you already have and use a Zoom account, please sign into it first, before trying to access the D-Lab workshop.
If you have questions or problems with Zoom, please email: dlab-frontdesk@berkeley.edu

This three-part series will cover the following materials:
Part 1:  Introduction

Getting a dataset into Stata (no previous knowledge expected)
Examining a dataset and finding variables of interest
Summarizing and tabulating variables
Stata specific tools and resources (do files, logs, help files, etc.)
Coding and cleaning data (making new variables from old variables; labeling variables and values, etc.)
Using logical operators in Stata

Part 2: Data Analysis in Stata 

OLS and logistic regression (basic syntax, using interaction terms, interpreting output)
Visualization (histograms, bar graphs, scatter plots)
Regression postestimation (getting predicted values, basic graphs)
Merging and appending datasets

Part 3: Stata Programming

Local and global variables (macros)
Looping (foreach, forvalues)
Reshaping data between wide and long formats
Recalling and using command output
Generating nicely formatted journal-style tables

Prior knowledge: A basic understanding of variables (nominal, ordinal, continuous), descriptive stats (mean, standard deviation), correlation, and regression will be assumed.
Technology requirement: Please bring a laptop with Stata installed. You can install a trial version of Stata. Please arrive 15 minutes early for installation assistance.
Registration note: To participate in multiple parts of this intensive, please be sure to register for each day separately.