Data Analysis Using Stata

This course aims to provide you with the understanding and experience to undertake a basic research project in the social or health sciences using Stata as the statistical tool.

Level 2 - runs over 5 days

Dr Joanna Dipnall is a biostatistician with the School of Public Health and Preventative Medicine (SPHPM) at Monash University and Honorary Research Fellow with School of Medicine at Deakin University. She holds a B.Ec(Honours) from Monash University, and a PhD from the School of Medicine at Deakin University. She also lectures and tutors with the Department of Statistics, Data Science and Epidemiology at Swinburne University. Joanna has developed a novel Risk Index for Depression (RID) utilising SEM and machine learning techniques that brought together five key determinants of depression. She has been a teacher of Stata software for over 15 years, training across Australia and overseas and was a member of the Scientific Committee for the Oceania Stata Users Group Meeting in 2017.

Course dates: Monday 1 February 2016 - Friday 5 February 2016
Course status: Course completed (no new applicants)
Week 2
About this course: 

Stata is a comprehensive integrated package for data management, analysis and graphics. Stata has a comprehensive GUI interface.  Sample datasets will be provided, but you are encouraged to bring some of your own data for analysis in Excel or ASCII format. Teaching and practice will be closed integrated, and individual assistance will be provided as needed.


The course is suitable for beginners to the Stata package and will be presented in a way that introduces survey research. It is also appropriate to those familiar with Stata as it extends the capabilities of more experienced researchers.

Course syllabus: 

Day 1

  • About Stata
  • Inputting data into Stata
  • Exploring data in Stata
  • Basic data modifications in Stata


Day 2
Basic Analysis

  • Tables and Correlations
  • T-tests and analysis of variance
  • Handling dates
  • Introductrion to Stata graphics


Day 3
More Analysis

  • Developing scales
  • Factor analysis
  • Merging datasets
  • Advanced Stata graphic


Day 4
“Day of Regression”

  • OLS Regression
  • Logistic Regression
  • Poisson Regression
  • Stepwise Regression


Day 5
Survey Data

  • Analysis of survey data in Stata
  • Group reposrts using Stata, based on research hypothesis
Course format: 

This course will take place in a computer lab and uses the Stata software. Notes and sample datasets will be provided, but you are encouraged to bring some of your own data for analysis in Excel or ASCII format.

Recommended Background: 

This course assumes that participants have;

(1) reasonable understanding of statistics to be able to comprehend the material covered in the course outline above (e.g. regression analysis)

(2) some familiarity with a PC environment including keyboard skills and understanding of folder and file structures,

(3) some experience in using Microsoft Word and Excel or their equivalent

(4) some experience using a text editor such as Notepad, UltraEdit.


It does not assume prior experience with Stata, SAS, SPSS or any other specific statistical packages although any such experience would be helpful.

Recommended Texts: 

No specific references are suggested although participants are encouraged to bring any Stata documentation they may have. For an overview of the Stata package, please visit or

Course fees
Non Member: 
Full time student Member: 

Q: Do I have to have any prerequisites to do this course?

A: It would be advised that you have completed an introductory statisics course ie Fundamentals of Statsistics.

Participant feedback: 

Helped with updating knowledge on a VIP research tool for PHD students (Summer 2014)


Very personal attention (Summer 2014)


Jo ran an excellent and energetic course both hands on and explained complicated concepts simply. Love the hands on. (Winter 2014)


Very well structured & interactive. (Winter 2014)


Learned STATA commands & capabilities. Understand better stuff that was previously murky. (Winter 2014)


Highly relevant to my work & research. Would highly recommend to others. (Winter 2014)


Provided information in a clear and accessible format. V. clear explanations with good use of examples and exercises. V. pleased. Thanks Jo! (Winter 2014)


Very helpful practical course, intense but highly recommended. (Summer 2015)


Extremely useful as I am much more confident using STATA (Summer 2015)

Summer Program 2016

The instructor's bound, book length course notes will serve as the course texts.

Supported by: 

Stata is distributed in Australia and New Zealand by Survey Design and Analysis Services.