Introduction to Stata Beginners
The course will provide students with an introduction to the popular and powerful statistics package Stata. Stata is commonly used by analysts in both the social and natural sciences, and is the statistics package used most widely by the SSRMC. You will learn:
- How to open and manage a dataset in Stata
- How to recode variables
- How to select a sample for analysis
- The commands needed to perform simple statistical analyses in Stata
- Where to find additional resources to help you as you progress with Stata
The course is intended for students who already have a working knowledge of statistics - it's designed primarily as a ""second language"" course for students who are already familiar with another package, perhaps R or SPSS. Students who don't already have a working knowledge of applied statistics should look at courses in our Basic Statistics Stream.
- University Students from Tier 1 Departments
- Further details regarding eligibility criteria are available here
This course is intended for students with very little or no previous experience of Stata.
- The module requires preferably basic knowledge in statistics (descriptive statistics, linear regression) but it fits for students with no background in statistics.
The student will be self-sufficient and able to explore Stata further by themselves in future.
Course attendees will learn how to open and manage their data, produce simple tables and figures, and conduct basic statistical analyses in Stata using the software's statistical language.
Presentation and practicals
Stata Publications: http://www.stata.com/publications/ Stata user’s guide: http://www.stata.com/manuals13/u.pdf Stata YouTube channel: https://www.youtube.com/user/statacorp
There may be an online open-book test at the end of the module; for most students, the test is not compulsory.
Click the "Booking" panel on the left-hand sidebar (on a phone, this will be via a link called Booking/Availability near the top of the page).
Moodle is the 'Virtual Learning Environment' (VLE) that the SSRMP uses to deliver online courses.
SSRMP lecturers use Moodle to make teaching resources available before, during, and/or after classes, and to make announcements and answer questions.
For this reason, it is vital that all SSRMP students enrol onto and explore their course Moodle pages once booking their SSRMP modules via the UTBS, and that they do so before their module begins. Moodle pages for modules should go live around a week before the module commences, but some may be made visible to students, earlier.
This module runs twice a year - once in Michaelmas Term; once in Lent Term.
Events available