Online, Italy

Migrating to Stata Painlessly!

online course
when 27 May 2021 - 28 May 2021
language English
duration 1 week
fee EUR 355

“Migrating to Stata Painlessly!” is a reduced version of our “Up and Running in Stata” course. The course covers everything from the very basics, in order to get one up and running in Stata, through to an overview of the Stata commands available 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, it does not include specific applied Lab based exercises at the end of each individual session. Despite this, participants are able to replicate in real time the commands being illustrated by the course leader using the data bases provided at the beginning of the course.

Target group

This course has been specifically designed for researchers wishing to migrate to Stata from other statistical packages or simply needing to refresh their existing Stata skills. Experience has shown us that individuals without any previous experience of other statistical software packages are likely to find the course somewhat too intensive and would benefit far more from attending our “Up and Running in Stata”, which offers an applied exercise component at the end of each session during which participants have the opportunity to implement the concepts/techniques discussed in the sessions under the watchful eye of the course tutor.

Course aim

“Migrating to Stata Painlessly!” is a reduced version of our “Up and Running in Stata” course. The course covers everything from the very basics, in order to get one up and running in Stata, through to an overview of the Stata commands available 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, it does not include specific applied Lab based exercises at the end of each individual session. Despite this, participants are able to replicate in real time the commands being illustrated by the course leader using the data bases provided at the beginning of the course.

Fee info

EUR 355: Full-time Students*: € 355.00
Full-Time PhD Students: € 455.00
Academic: € 505.00
Commercial: € 590.00

*To be eligible for student prices, participants must provide proof of their full-time student status for the current academic year.