Sunday, May 31, 2020
Distance Learning Courses on Research Methods
Distance Learning Courses on Research Methods Free Courses in Research Methods Research methods courses are useful for all students, not just those who are required to take them. They can help students form research strategies and methodologies that are applicable to all other subjects. As such, they are popular at open access and free online course groups that cater to those seeking knowledge for knowledge's sake. If you are looking for a course to take, there are many free, online options. Related Articles Korean Language Distance Learning Classes for College Credit Korean Language Distance Learning Classes for College Credit Distance Learning Speech Pathology Graduate Programs Distance Learning Speech Pathology Graduate Programs College Distance Learning: Interview with Jim Vidmar College Distance Learning: Interview with Jim Vidmar Unite For Sight Unite For Sight operates a free, online course focusing on research methods with global health data. It places particular emphasis on effective means of conducting international studies in global statistics. Though it offers no transferable credit, it can be incorporated into Unite For Sight's certificate program in global health research. University of Amsterdam The University of Amsterdam offers Solid Science: Research Methods via Coursera. This class emphasizes both the principles of research methodologies as well as applying those skills to evaluate past and published work in the social and behavioral sciences. University of London The University of London occasionally hosts an Understanding Research Methods class via Coursera. Though no credit is offered for the course, Coursera does offer a Statement of Accomplishment, acknowledging your participation in the class. This is a good primer for those beginning or advancing their understanding of research approaches and skills. MIT's Open Courseware MIT's Open Courseware offers several focused, free, open access courses on research methods, including a two-part Doctoral Seminar on the subject and a Quantitative Research Methods which is heavy on statistical frameworks.
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