Research data analyst is a group of professionals with the interest in academic research or project work analysis in Ghana and beyond. We render statistical services to students in the various institutions (universities) who are writing on their project works.
Our services are specified; our focus is on Data analysis, Methods, Questionnaire construction, and Data collection. We look forward to working with all students writing their thesis in Ph.D., Masters, and Degrees.
If you are looking for a working partner whom you can trust in terms of efficiency, accuracy, timeliness, reliable, Excellency, professional and data-oriented look no further, we are a group of smart professionals; we give to you what you want, how you want it and when you need it.
Our flexible terms of services give you the opportunity to understand whatever we do in relation to your thesis analysis; we discuss with you what we do and make sure you understand all aspects of our statistical findings so as to foster your knowledge on your findings and assumptions. We make you the boss and the owner of all aspect of your thesis write-ups.
Very importantly we work with you until your thesis is accepted or approved by your department. Terms and conditions apply.
The Data analyst is involved in the process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data. According to Shamoo and Resnik (2003) various analytic procedures “provide a way of drawing inductive inferences from data and distinguishing the signal (the phenomenon of interest) from the noise (statistical fluctuations) present in the data”.
While data analysis in qualitative research can include statistical procedures, many times analysis becomes an ongoing iterative process where data is continuously collected and almost simultaneously. Indeed, researchers generally analyze for patterns in observations through the entire data collection phase (Savenye, Robinson, 2004). The form of the analysis is determined by the specific qualitative approach taken (field study, ethnography content analysis, oral history, biography, unobtrusive research) and the form of the data (field notes, documents, audiotape, videotape).
An essential component of ensuring data integrity is the accurate and appropriate analysis of research findings. Improper statistical analyses distort scientific findings, mislead casual readers (Shepard, 2002), and may negatively influence the public perception of research. Integrity issues are just as relevant to the analysis of non-statistical data as well.
There are a number of issues that researchers should be cognizant of with respect to data analysis. These include:
Phone: 0209505998 / 0540498190
Location: Ministries, Accra.
Facebook Page: Research Data Analyst.