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Wednesday, 29 Aug at 5:30 pm

Price

$0.00 - $387

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Introduction to Stata – FREE to Grad Students

Learn how to use Stata, a software package for statistical analysis, data management, and graphics.

Stata is an integrated statistical software package designed to assist researchers in a variety of disciplines. It is used for statistical analysis, data management, graphics, simulations, regression, and custom programming. In this introductory course, learn how Stata could be incorporated into your own research.

This special pilot event is completely FREE for all UoM graduate students.

The program is now booked out – please sign up to go on the waiting list.

The course is run in the ERC e-Learning studio at Parkville with Windows computers so there is no need to bring your own laptop, unless you want to follow along using Mac.

Who should attend:

Stata is cross-platform compatible and applicable to a wide range of disciplines, including (but not limited to):

  • Behavioural sciences
  • Biostatistics
  • Economics
  • Medicine
  • Political science
  • Public health
  • Education
  • Epidemiology
  • Finance, business and marketing
  • Public policy
  • Sociology

The workshop assumes basic computer skills, but no prior knowledge of Stata. Participants will be provided with a PDF set of slides and set-by-step process files that will be used as the background material for the course.

It is recommended that participants have prior working knowledge of statistical concepts. Further information can be found at: https://scc.ms.unimelb.edu.au/

How the course will run: 

This introduction will be a 2 hour pilot workshop held in the Eastern Resource Centre e-Learning studio on Wednesday 29 August from 5.30-7.30pm.

Materials:

The e-Learning studio is equipped with Windows computers but you are welcome to bring your own laptop if you would prefer to use Mac.

Participants will be provided with a complimentary training license to use Stata. This license will be accessible for a fortnight after the event.

Learning Outcomes:

By the end of the two hour session course participants will:

  • Recognise the Stata interface and understand the importance of each component in relation to your own research/analysis
  • Understand the basic means for getting data into Stata and how to validate the data once in Stata
  • Have an appreciation of the different types of analyses that can be performed in Stata using both the menus and the command line

 

Try Stata before you come:

Want to try Stata before you attend the info session? Registered participants will be sent a trial license to test out the software before the session.

Alternatively, Stata is installed on ground floor computers G25 to G36 of the Brownless Biomedical Library . It is also available to Faculty of Business and Economics students on or off campus via myUniApps.

If you would like to request installation on University-owned computers, please check with your faculty. For further information, see the knowledge base article on Stata. 

Your presenter:

David White is an experienced data analyst and trainer.  He has been working with Stata for approximately four years. He was the lead author on A Simple Start to Stata: For Health Researchers, an introductory text designed to provide new students with the skills to perform the six basic steps required in most research using Stata.  David leads training for Survey Design and Analysis Services. He most recently provided training to an organisation in data management using Stata. David has a Bachelor of Economics from ANU and a Masters in Business Operations Management at the University of Technology Sydney.

By registering and paying for this shortcourse, you are committing to attendance.

If you fail to attend without notifying us of compelling reasons we reserve the right to limit your attendance to other programs at GSA. Please read the program terms and conditions.

The charge for this subsidised program covers some of the presenter’s fees. By paying it you are generously helping support GSA and sponsoring more programs for graduate students.

If you have any queries, please email programs@gsa.unimelb.edu.au.

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