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National Data Management Center / by Kirubel Alemu / 762 views
Course Description:
These 9 days basic Health Data Science training is designed to capacitate public health professionals on fundamental processes of data science, maintaining data quality through proper data management, utilizing statistical concepts of data analysis and inference, employing and effectively using algorithmic problem-solving skills to the problem at hand, and effectively communicate results and findings to a broad audience.
Course Goals:
To equip participants with basic knowledge, skills, and attitude to improve the means of utilizing health data through the process of data science and its applications by enriching problem analysis and decision-making practices for strengthening the public health sector.
Learning Objectives:
After the completion of this training module, the participants will be able to:
Training/Learning Methods:
Training Materials:
Selection Criteria of Participants:
Participants for this training should be individuals who are currently working or are interested to work in areas of health data science. Participants for this course should be health professionals with:
Trainers’ Selection Criteria:
Methods of Evaluation:
Participant
Course:
Duration of the Course:
9 days
Course Venue:
Training center (classrooms and computer laboratories) containing essential training materials listed in above.
Composition of the Course:
Minimal Criteria for Certification: