Illustrating Stata is a reduced form version of our Up and Running in Stata course. It provides participants with an overview of the Stata commands necessary to enable them to carry out data analysis and data management in Stata. The course covers everything from the very basics, in order to get one up and running in Stata, to an overview of the available Stata commands for preliminary data analysis, data management, importing and exporting data formats and the creation of graphs in Stata.
In contrast to our Up and Running in Stata course however, Illustrating Stata does not include specific applied Lab based exercises at the end of each individual session. Despite this, participants are strongly encouraged to bring their own laptops with them to the workshop, in order to be able to replicate in real time the commands being illustrated by the course leader.
This course is invaluable to both professionals and researchers (working for example, in Biostatistics, Economics, Epidemiology, Social and Political Sciences and Statistics), wishing to use Stata for applied statistical analysis, data management or data visualization.
Familiarity with PCs and a working knowledge of English. Participants with previous experience of other statistical software will benefit enormously from this course.
SESSION I: GETTING STARTED
File types in Stata
Working interactively in Stata
Saving output: the log file
Loading Stata databases
The Log Output File
Saving databases in Stata
Exiting the software
SESSION II: PRELIMINARY DATA ANALYSIS
A preliminary look at the data: describe, summarize commands
Abbreviations in Stata
Statistical Tables: table, tabstat and tabulate commands.
SESSION III: DATA MANAGEMENT
Selecting or eliminating variables
Creating sub-groups: the prefix by
Creating new variables: generate
Operators in Stata
The command assert
Missing values in Stata
Modifying variables: replace, recode
Creating Labels: variable labels and value labels
Creating dummy variables
SESSION IV: IMPORTING DATA FROM SPREADSHEETS
Import Excel and Export Excel commands
The insheet and outsheet commands
Importing in SPSS Files
Redefining missing values
Dealing with “messy” strings
SESSION V: GRAPHICS – A BRIEF INTRODUCTION
Stata’s syntax for two way graphs (bar, histogram, scatter)
Saving and exporting graphs
Useful graph commands
Personalizing a graph
Stata’s Graph Editor
APPENDIX A (time permitting):
Merging data bases
The course will take place in the following locations:
Bratislava, 17th June 2019
Belgrade, 16th September 2019
Ljubljana, 13th December 2019
Students*: € 90.00
Academic: € 150.00
Government / Nonprofit: € 250.00
Commercial: € 350.00
*To be eligible for student prices, participants must provide proof of their full-time student status for the current academic year.
Fees are subject to VAT (applied at the current Italian rate of 22%). Under current EU fiscal regulations, VAT will not however applied to companies, Institutions or Universities providing a valid tax registration number.
Course fees cover: course materials (handouts, Stata do files and datasets to used during the course), a temporary licence of Stata valid for 30 days from the beginning of the course and coffee breaks.
The number of participants is limited to 15. Places, will be allocated on a first come, first serve basis. The course will be officially confirmed, when at least 8 individuals are enrolled.
Although this course differs slightly from our standard format in that the program does not contain (due to the one day duration of the course) explicit hands-on sessions. We recommend that participants bring their own laptops along, so as to be able to actively participate in the demonstrations illustrated by the course leader.
Individuals interested in attending the training course, must return their completed registration forms to TStat by the:
2nd June 2019 for the Bratislava course
1st September 2019 for the Belgrade course
28th November 2019 for the Ljubljana course
Illustrating Stata provides participants with the necessary introductory toolset to enable them to carry out efficient data analysis and data management in Stata in a reproducible manner.