Inspiring Excellence
I offer highly affordable trainings on various research skills, both for qualitative and quantitative research methods, including in research design, data collection, data analysis and report writing.
My training approaches are unique as I have spent a lot of time developing approaches and tools for making research concepts easier to grasp and apply among inexperienced researchers with a goal of facilitating them to produce research products of similar quality to those produced by experienced researchers like myself.
After each training, trainees will be provided with the following tools to serve as a reference when performing similar tasks in future. The tools are aimed at providing trainees with a comprehensive guidance on how to apply taught research concepts and simplifying their application in actual research activities, and they include:
To join one of my courses, choose a training method, select the training you wish to attend (from available trainings) and sign up:
Trainees physically attend
and are trained by Dr.
Kahabuka face
-
to
-
face.
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Trainees join online and
receive live online training
by Dr. Kahabuka
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Trainees can log in anytime
and work through the
course materials prepared
by Dr. Kahabuka at their
own pace.
COMING SOON!
Secondary to Dr. Kahabuka’s passion for research and as among efforts towards delivering high quality research deliverables to her clients at CSK Research Solutions, she initiated, in Nov 2019, CREMES Research Mentorship Program.
Through the program, mentees are offered with not only technical research skills but also other key soft skills such as work ethics & professionalism, communication and presentation skills, time management & priority setting etc. Further, mentees are continuously mentored through ongoing research activities at CSK Research Solutions.
To Learn more about CREMES Research Mentorship program, please visit
For mentorship opportunities in research, please follow our research mentorship page at:
https://www.linkedin.com/company/73215601/admin/