![]() Specifically, we'll cover the 3 stages of data processing namely: On completion of the course, participants will have the necessary familiarity with EpiData Software to move on to further EpiData courses or continue learning themselves. Participants will be able to pick a basic and straightforward technical skillset to effectively summarize the results of their analysis and describe these results. This practical comprehensive hands-on course targets undergraduate, post-graduate, MA or PhD students program managers, monitoring & evaluation professionals or anyone who needs to perform research data or statistical analyses using questionnaires survey methodology where the data are subsequently transformed into tables and figures which gives you the first comprehensible results. That's the focus of the course, not question design or interpretation of survey data. We all know that the results or findings chapter is all about statistical findings, which is basically numbers. The course focuses on teaching the basics of designing survey data-entry instruments and teaching you the data processing procedures of translating the answers on your survey research questionnaires into a dataset, cleaning up datasets and presentation of your quantitative research results using the free public domain statistical software package of EpiData. Are you struggling with writing your findings or results chapter? Whether it's a dissertation, thesis or any other type of academic research paper assignment, this mini-course will get you off to a great start.
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