UCL Learning Portfolio


DSD: Getting Started with Stata - Part 3 (Scripting techniques)
Course Description:

This blended learning course is designed to help you to use Stata to import, manipulate, describe and analyse categorical and continuous data, and to produce plots and tables to support analysis.

There will be four online tutorials designed to be taken in sequence, one an introduction to the course and three specialist tutorials. This tutorial is Part 3 of the series. This course involves
  • around four hours of online, video based learning
  • directed reading on selected web sites
  • a number of exercise sheets linked to the video material
  • an online workshop to consolidate your learning

To benefit fully from the course you should complete all of these elements.

Once you have booked on the course you will be able to access all of the online materials in our Digital Skills Development Moodle course. These include a short introduction video that explain how the course is delivered.

PREREQUISITES: You should have a good understanding of statistical concepts. No prior experience with Stata is required, but experience using a spreadsheet application such as Excel would be an advantage.

IMPORTANT: Please ensure you complete any necessary pre-learning (found in our Moodle course) before starting the live element of the training.

Once you have enrolled, you will need to click on the play button under 'My current enrolments' in My Learning to join at the time of the live session. You will also receive an email containing the direct joining link at least a day before the session.

We would encourage those who are new to Blackboard Collaborate/Microsoft Teams to join 15 minutes early in order to test out their connection/audio and help will be offered to sort out any problems. Participants are welcome to join any time within the first

Intended Audience:
This course is aimed at those with a good understanding of statistical concepts who wish to learn to use Stata to analyse their data.
Target Audience: All
11/02/2022 - 11/02/2022  (Enrol between 02/12/2021 and 09/02/2022) Enrol

17/03/2022 - 17/03/2022  (Enrol between 02/12/2021 and 15/03/2022) Enrol

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