Data management and introduction to Biostatistics


Date: 24 January – 28 January 2022

Course Series Objectives

At the end of the workshop all participants should:

  • Understand key concepts of data management
  • Design and develop electronic data collection tools
  • Clean data in preparation for analysis using excel and STATA
  • Protect participant identities using unique identifiers
  • Perform statistical analysis using stata
  • Appreciate the trajectories of data science, big data analytics and bioinformatics.

Teaching methodology

Course overview

The first 2 days of each workshop will involve theory discussions of the background and use of the technologies in data management and biostatistics. The following 3 days will involve a hands-on training of how to apply principles of Biostatistics and presentation of findings in a research/scientific setting. The last day of the course will have an overall assessment of everything taught through panel discussions.

The course is designed to be delivered as theoretical and practical sessions, tutorials and exercises. All participants are expected to attend all/ elective sessions and are therefore expected to dedicate time to attend the workshop. In addition to sessions, participants will get access to reading materials on these topics. Participants will be required to bring a practice data set derived from their research work which they will use to practice the principles of data management and biostatistics. Not all participants are required to attend all sessions. Participants can choose sessions of interest and should indicate this in their application. Participants will be split into 2 groups as follows:

Data management group: is for participants who want to gain data management skills to be applied in research or programming settings.

Scientific group: is for participants who are currently conducting research projects and have collected data which is at the analysis stage. Or researchers who are currently writing scientific papers and are about to publish findings.

Language: English

Type of training: in-person with practical demonstrations and exercises

Target Audience: Data managers, Doctoral and Postdoctoral candidates, monitoring and evaluation officers, research stuff.

Applications are now closed and we will advertise for the next course in 2023

The course is facilitated by the Biomedical Research and Training Institute (BRTI) with funding from NIH-D43 (TW 011326) HIV Training Grant


Course Facilitators
Dr T Mapako

Dr T Mapako

Faculty Lead

Risk Modeller and senior Bio Statistion who is affiliated to the University of Zimbabwe.

Mildred Pepukai

Mildred Pepukai

Course Secretary

Bio statistion with 7 years experience of research and data management.

Ms Miriro Muvoti

Ms Miriro Muvoti


An ICT specialist with database design and management experience for both research and academia 

Mr V Chikwasha

Mr V Chikwasha


Bio statistions with vast research and academic experience. Lectures at Faculty of Medicine and Health Sciences, University of Zimbabwe.