Introduction to Stata

Course dates

21 - 22 November 2019

Course duration

2 days (approximately 12 hours teaching with a mixture of lectures and practicals).
Registration will start at 8.45am on the first day, the course will finish by 4pm on the final day with an optional session on dates running until 4.45pm.

Course tutors

Dr Hannah Jones (course organiser), Dr Hannah Sallis, Dr Sarah Sullivan, Dr Daniel Smith, Dr Abigail Russell and Ms Lauren Scott.

Course aims

To provide a basic introduction to the statistical software package Stata 15, focusing on its use for data management and data exploration.

Course learning objectives

By the end of the course attendees should be able to use Stata 15 to:

  1. find help about a given topic or command;
  2. explore a dataset in a number of ways;
  3. add labels to a dataset to make it self-documenting;
  4. recode variables and derive new variables from existing ones;
  5. reorganize and simplify a dataset and deal with missing values;
  6. import data from a variety of sources;
  7. combine two or more datasets;
  8. produce summary statistics, tables and graphs;
  9. keep a record of their work and ensure it is reproducible;
  10. and optionally deal with dates. 

Who the course is intended for

The course is intended for anyone who wishes to use Stata regularly in their day to day work as a data exploration and/or management tool.

Previous experience with handling data is therefore required, as is a familiarity with Microsoft Windows. No previous knowledge of Stata is necessary. Students will gain the familiarity with Stata that is a prerequisite for several other courses in the short course programme.

Please note: the focus of the course is not on the use of Stata for analytical purposes and so statistical commands will not be covered (although basic statistical commands are provided within the course booklet).

Course outline

  1. About Stata and Stata resources
  2. Starting and stopping Stata
  3. Sources of help and the Stata Viewer
  4. The example dataset
  5. Creating and saving a Stata dataset
  6. Listing and Describing data
  7. Naming and labelling a dataset
  8. Working with subsets of data using the in, if and by commands
  9. The drop, keep and clear commands
  10. Generating and replacing variables
  11. Keeping a record of your work using Logs and Do-files
  12. Importing data from other programmes
  13. Combining two or more Stata datasets
  14. Producing graphs
  15. Dealing with dates (optional)

Please note: Practical sessions of this course will be held in a computer lab, so you will not need to bring a laptop.

Booking

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The course was really well paced. It's great that it's for complete beginners and doesn't assume any prior knowledge. The tutors were friendly and approachable, and are clearly experts in the software.”

Course feedback, November 2018

Course fee

£440

More information on course fees, fee waivers and reduced prices.

Course venue

Bristol Medical School
Canynge Hall
39 Whatley Road
Bristol
BS8 2PS
United Kingdom

Map and directions

Course refreshments

We provide morning and afternoon refreshment breaks, including tea and coffee, biscuits and fresh fruit.

If you have specific dietary needs we ask that you let us know in advance.

Lunch is not included. There are a range of local cafes and supermarkets nearby for students to purchase lunch. 

Accommodation

Information about accommodation in the area.

Contacts

For further information please email short-course@bristol.ac.uk.

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