Course Coordinator:

Prof. Siswanto Agus Wilopo, M.D., M.Sc., Sc.D

Learning Obejctives:

In this course, students will learn how to design and manage a ‘workflow of data analysis’, a process for managing all aspects of data analysis for demographic and health survey (DHS) and GEAS Survey data. Many developing countries regularly conduct DHSs and the results and datasets are made available in the public domain, including the Indonesian DHS (IDHS). Similarly, GEAS Survey data will also be available for public. A workflow of data analysis is an essential productivity tool for data analysts, enabling them to create an effective strategy for designing and undertaking data analysis. 

By the end of the course participants should be able to: 

1. design and implement efficient workflows for both individual and team projects utilising DHS or GEAS survey data sets, 
2. plan, document, and organize their work, 
3. perform data set cleaning, 
4. create, rename, label, construct, and verify variables relevant to each research question, 
5. perform and evaluate results of statistical analyses using a multivariable approach and statistical modelling,
6. produce replicable results of analysis using sets of programmes in the form of ‘do files’ in STATA,
7. construct an effective data archive system to store raw data and analyses, 
8. create graphs and tables ready for publication in scientific journals, including multivariable modelling, and 
9. interpret and describe graphs and tables in a narrative form, for presentation in the ‘Results’ section of scientific articles.