Brno, Czech Republic
Foresight and Strategic Management
When:
13 July - 26 July 2025
Credits:
3 EC
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Economics
When:
28 November - 29 November 2022
School:
Institution:
TStat Training
City:
Country:
Language:
English
Credits:
0.0 EC
Fee:
355 EUR
“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.
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.
“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
355 EUR, 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.
When:
28 November - 29 November 2022
School:
Institution:
TStat Training
Language:
English
Credits:
0.0 EC
Brno, Czech Republic
When:
13 July - 26 July 2025
Credits:
3 EC
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Amsterdam, Netherlands
When:
05 July - 19 July 2025
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Amsterdam, Netherlands
When:
23 June - 27 June 2025
Credits:
3.0 EC
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